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# Description
**DaGama** is a RWL (Real World Locations) platform that leverages blockchain and AI technology to offer a unique experience with authentic content, restoring trust in recommendations.
**RWL** (Real World Locations) are all real-world places, both commercial and non-commercial, integrated through WEB3 infrastructure. This integration combines common real-world locations with the advantages of blockchain technology, fostering mass adoption.
daGama is built on a proprietary "Gama-protocol" for validating and storing user reviews, uniting members with the DGMA Token on Arbitrum. It creates a transparent, community-driven ecosystem benefiting users and businesses by providing honest recommendations verified by the Gama Protocol algorithm. The "Post and Earn" mechanics incentivize engagement, rewarding users with DaGama tokens for authentic recommendations.
The innovative approach integrates real-world locations with Web3, bridging digital and physical spaces. By rewarding genuine content, daGama fosters trust and transparency, encouraging wider acceptance and usage among users and businesses.
🔊 **Highlights:**
• End-to-End RWL ecosystem: Business Panel, POS-Terminal, Gama protocol.
• MVP released. Android & IOS compatible.
• $450k Grant Program.
• NFT membership card, with prize raffles and a unique chance to win a round-the-world trip.
• The World’s First RWL project on Arbitrum Ecosystem.
• Completed KYC from CertiK with Silver Badge.
• ChainLink\`s Blockchain Oracles for cross chain communications.
# Community
### Community Engagement
At daGama, we understand the importance of fostering a vibrant and engaged community. We are supporting our community members and providing ample opportunities for participation in daGama app testing and the upcoming token sale.
### Join Our Social Channels
We invite you to join our official social media channels:
[**Twitter**](https://x.com/dagama_world)
 [**Telegram**](https://t.me/da_ga_ma)
 [**Discord**](https://discord.gg/dagamaworld)
 [**Medium**](https://medium.com/@daGama_World)
 [**Youtube**](https://www.youtube.com/@dagama_world/featured)
 [**Crunchbase**](https://www.crunchbase.com/organization/dagama-1fdb)
Our community managers and moderators can answer your questions, provide guidance, and share important updates.
## **daGama Influencer Program**
Earn rewards in **USDT**, **DGMA tokens**, performance-based bonuses, and unlock exclusive benefits by becoming a part of the daGama growth engine.
***
#### **Reserved for Influencer Rewards**
* **1%** of Total Token Supply
* **$100,000+** Token Allocation at TGE
[Become an Influencer](https://t.me/bd_dagama)
***
### **Influencer Duties, Rewards & Bonuses**
Requirements: Minimum 1,000 followers on X (Twitter)
As a daGama Influencer, you will receive a unique referral code and get access to:
* **Onboard verified Web3 users** into the daGama ecosystem
* **Grow the community** through authentic engagement
#### **Referral Program**
* Earn **10 DGMA** for every verified user you refer
* Climb the **Leaderboard** to unlock multipliers and bonus rewards
#### **Social Engagement**
* Earn **1 DGMA** for each eligible interaction (like, comment, retweet)
* Frequent engagement boosts visibility and leaderboard ranking
***
### **Additional Features for Top Influencers**
#### **Mystery Boosts**
Top contributors can unlock:
* Surprise token drops
* Whitelist spots
* Private collaborations
* Early access to platform features
#### **Exponential Earnings**
Higher influencer levels increase your rewards — reach the top to earn up to **1.5×**
#### **Elite Status & Insider Access**
Top 10 influencers receive:
* VIP-level support
* Bonus multipliers
* Early access to daGama Alpha features
#### **Exclusive NFT Drop**
Gain early access to the **daGama Pioneer NFT Series** — more than just collectibles, they unlock:
* Special perks across the daGama ecosystem
* Priority access to upcoming features
***
### **Bonus Activities**
* Participate in **AMAs** to earn extra rewards
* Create **YouTube reviews** to showcase daGama
* Receive **USDT payouts** based on your KOL tier
***
### **Join the daGama Influencer Program**
Contact us via [Telegram](https://t.me/bd_dagama) or [email](mailto:info@dagama.world) with a link to your X profile. If selected, you’ll:
* Become an official **daGama Influencer**
* Connect your wallet
* Receive your personal referral code
* Start earning in **DGMA** and **USDT**
 [Write to Us ](https://t.me/bd_dagama)
# Problem
## **The Impact of Fake Reviews on Businesses and Consumers**
The proliferation of fake reviews has become a critical issue in today’s business environment. These reviews distort public perception, undermine consumer trust, and cause significant financial and reputational harm to businesses. They are particularly damaging for real-world enterprises like restaurants, hotels, and other players in the HoReCa (hospitality) industry, where customer experience directly affects reputation.
### Audiences impacted by fake reviews include:
* **Consumers (Millennials: 1981–1996 and Gen-Z: 1997–2012):** Research shows that **88% of people** follow at least one travel influencer on social media, and **45%** trust their recommendations ([TravelPerk](https://www.travelperk.com/blog/gen-z-travel-statistics-trends/)). These consumers rely heavily on reviews to make decisions about venues and services.
* **HoReCa Businesses:** For restaurants, hotels, and other hospitality enterprises, reviews play a pivotal role in attracting customers, especially in highly competitive markets.
## Types of Impact Caused by Fake Reviews
### **1. Reputational Risks**
* **Loss of Consumer Trust:** Consumers increasingly view reviews as unreliable due to their lack of authenticity. Studies show that **67% of consumers consider fake reviews a serious issue**, directly affecting their trust in restaurants, hotels, and other HoReCa businesses ([Demandsage](https://www.demandsage.com/online-review-statistics/)).
* **Negative Business Perception:** A single negative review can deter up to **22% of potential customers**, while multiple bad reviews can increase this figure to **70%**. For example, a restaurant with poor reviews may lose its core customer base ([Invesp](https://www.invespcro.com/blog/fake-reviews-statistics/)).
### **2. Financial Losses**
* **Lost Sales:** Fake reviews often drive customers to competitors, leading to direct revenue losses. For example, losing customers during peak season can significantly reduce the income of hotels and restaurants ([Invesp](https://www.invespcro.com/blog/fake-reviews-statistics/)).
* **Reputation Management Costs:** Businesses in the HoReCa industry are forced to allocate substantial resources to mitigate the effects of fake reviews, including hiring PR agencies and legal support ([Demandsage](https://www.demandsage.com/online-review-statistics/)).
### **3. Legal and Ethical Risks**
* **Regulatory Consequences:** The **U.S. Federal Trade Commission (FTC)** has banned the creation and sale of fake reviews, highlighting their harmful effects on fair competition, particularly in the hospitality sector ([Reuters](https://www.reuters.com/business/retail-consumer/us-ftc-finalizes-ban-fake-online-reviews-2024-08-14/)).
* **Ethical Concerns:** Fake reviews undermine principles of fair competition, eroding customer trust and hindering the equitable development of businesses ([Forbes](https://www.forbes.com/councils/forbesfinancecouncil/2018/10/05/how-review-sites-can-affect-your-business-and-what-you-can-do-about-it/)).
### **4. Deterioration in Service Quality**
* **Resource Diversion:** Businesses such as restaurants and hotels are compelled to divert resources to combat fake reviews rather than focus on improving customer experiences. This may involve creating specialized reputation management departments ([Wikipedia](https://en.wikipedia.org/wiki/Reputation_management)).
* **Customer Misinformation:** False positive reviews for a restaurant or hotel can lead to customer disappointment when they expect a high level of service but encounter poor quality ([ArXiv](https://arxiv.org/abs/2401.11345)).
### **5. Competitive Risks**
* **Unfair Competition:** Fake negative reviews are used by competitors to discredit the reputation of restaurants, hotels, and other HoReCa businesses, leading to a shrinking customer base. This tactic affects **30% of companies** ([Demandsage](https://www.demandsage.com/online-review-statistics/)).
* **Loss of Local Recognition:** Fake reviews can negatively impact the local reputation of establishments, which is particularly crucial for restaurants and hotels reliant on tourists ([JSTOR](https://www.jstor.org/stable/26652537)).
### **Conclusion**
Fake reviews represent a serious threat to any business where customer opinion is crucial, especially in service industries such as restaurants and hotels (HoReCa). They undermine trust, distort competitive landscapes, and result in significant financial losses.
Addressing these challenges through innovative solutions—such as transparent review verification systems, AI-powered technologies, and incentivizing users to leave honest reviews—will help restore trust and fairness in the hospitality industry. This is the core mission of daGama.
daGama offers a solution that we will tell you about in the [next section](/problem-and-solution/dagama-solution).
# daGama solution
The main principle of daGama is "**Real recommendations for real users**." daGama solves real problems of real people. Our app and algorithms enable us to address issues related to [fake reviews and discrepancies between expectations and reality](/problem-and-solution/problem). We use UGC, which is verified by our [MLAFS system](/architecture/multi-level-antifake-system-mlafs). This content forms an [impression's map w](/product/for-user/the-impressions-map-and-recommendation-feed)ith a recommendation system that our users interact with.
Our users receive:
* An [impression's map with a recommendation system](/product/for-user/the-impressions-map-and-recommendation-feed) - **UGC**, verified by our [MLAFS system](/architecture/multi-level-antifake-system-mlafs), ensures that every user can trust the recommendations.
* The ability to create recommendations and share impressions with other users.
* A [recommendation system with AI](/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm) that recommends interesting places to you or helps you create a route.
* The opportunity to be not just a member, but an active participant in the community, thanks to our [role model](/economics/role-of-the-users).
* Monetize your expertise and earn from your content creation with P\&E.
In addition, within our ecosystem, we also provide business with an opportunity to manifest itself. Our systems will help you [avoid the problems that many corporations have faced](/problem-and-solution/problem). Fake establishments, the "Yelp" movement, and negative review boosting from competitors will no longer be a threat to you.
**Businesses** have the opportunity **to focus more on service** and **less on marketing.** Establishments that users like and have a high rating are always marked on our map. In addition, daGama provides other opportunities:
* The ability to undergo [verification and gain access to the business panel](/product/for-business/business-panel) to provide customers with more information about yourself and attract their attention.
* Access to the [business growth program](/product/for-business/promotional-tools), which enables you to increase customer visits with the help of the recommendation service. In addition, there is an assistant with artificial intelligence that will give you more recommendations on how to increase attendance and who exactly your user is and how they behave.
* The ability to have your business checked by a [revisor](/economics/role-of-the-users) and receive a fair assessment, as well as a mark that the business has been checked and verified.
* A [chat with customers](/product/for-business/business-panel) that enables you to resolve all controversial issues and improve your business.
* Access to the [boost system and loyalty program](/product/for-business/promotional-tools), which opens up the opportunity to attract more customers to your venue.
Thanks to this, within our ecosystem, absolutely everyone will find the necessary functionality. Our app will become an integral part of life, creating many positive impressions for everyone.
# For user
Users who create content generate an [impressions map](/product/for-user/the-impressions-map-and-recommendation-feed). The people's map marks the rating of both popular public places and hidden gems that are otherwise very difficult to find. Credibility of these recommendations and places is ensured by our developments - [MLAFS](/architecture/multi-level-antifake-system-mlafs), [AI Vasco](/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm) recommendation algorithm and [Trust rating](/architecture/trust-rating-algorithm).
Main features for the user in daGama:
* People's Map: Displays points of interest visited by users.
* Recommendation's feed: Personalised recommendations and content filtering using AI Vasco algorithm.
* Recommendation's Creation: Ability to earn activity points for quality publications.
* Itinerary Creation: Combine different locations to create unique itineraries.
* Activity Monetisation: Post & Earn mechanics to earn activity rewards.
The user is presented with a familiar interface that allows them to comfortably use the application and get the most pleasant experience possible. Many users share their impressions of the establishments and places, thereby [creating the content](/product/for-user/creating-recommendations-and-iteneraries) necessary for daGama's community.
# The impressions map and recommendation feed
In the [description section](https://wp.dagama.world/) we mentioned that daGama is a Real World Locations (RWL) platform that leverages blockchain and artificial intelligence technologies to offer a unique experience with authentic content and restore trust in recommendations.
Now, more about the impressions map…
The impressions map is formed by the[ content that users create](https://wp.dagama.world/product/for-user/creating-recommendations-and-iteneraries) as they visit various places. The content that has passed through[ our systems](https://wp.dagama.world/architecture/multi-level-antifake-system-mlafs) appears on the map, and every user can see authentic recommendations. It can be said that every place marked on our map is a diamond.
## Сonvenience of interaction
Vasco's AI recommendation algorithm is used to organise the people's map based on the interests of each individual user. On the map, secondary places are clustered (grouped) while preferred locations are "highlighted" according to filtering, text queries, and the user's individual choices. Our map features a unique design that highlights the best places with special design. These mechanisms significantly reduce the time required to find suitable places.
## The map finds places and the feed finds impressions
[Our algorithms](/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm) have made the recommendation feed an invaluable tool for everyone and those who enjoy exploring new areas. Users are able to select a location that best fits their interests by viewing [Memo and relavant content](/product/for-user/creating-recommendations-and-iteneraries). We have created a set of filters that lets you categorize the establishments according to your mood, making it simpler for the user to interact with the recommendation feed.
All real-world locations in daGama are connected through a WEB3 infrastructure. This integration combines regular real-world places with the advantages of blockchain technology, promoting widespread adoption.
# Creating recommendations and iteneraries
To ensure the accuracy and reliability of the User-Generated Map within daGama, we have implemented robust mechanics designed to protect the community from fake or inaccurate locations. These mechanisms emphasize user accountability and verified experiences.
### **Core Features**
#### **Check-in**
A Check-in is a user-generated point on the map that records their presence at a specific location. This feature allows users to share their experiences authentically while maintaining the integrity of recommendations. Each Check-in remains valid for 30 days, ensuring that user impressions are current and relevant. [How to Create a Check-In](/product/for-user/dagama-app-user-guide#how-to-create-a-check-in)
#### **Recommendations**
Every place added to daGama is considered a recommendation by the user. Recommendations can be created with or without a Check-in:
* **Verified Recommendation:** If a Check-in is selected when adding a place, the location is automatically marked as verified. [How to Create a Verified Recommendation](/product/for-user/dagama-app-user-guide#how-to-create-a-verified-recommendation)
* **Unverified Recommendation:** A location added without a Check-in requires verification. Any registered user can verify such a place by confirming the recommendation’s accuracy. [How to Create an Unverified Recommendation](/product/for-user/dagama-app-user-guide#how-to-create-an-unverified-recommendation)
When a user creates a recommendation, they become the "Pioneer" of the location. Verified recommendations help enhance trust within the community and maintain the overall quality of the platform.
#### **Verification System**
The platform features a robust verification system:
* **Verified Places:** Locations added with a Check-in are automatically verified.
* **Community Verification:** Unverified places can be confirmed by other users who validate the accuracy of the recommendation. This ensures that all locations meet the platform’s standards for authenticity.
#### **Negative Feedback**
Users can provide negative feedback about their experiences at a location. Unlike recommendations, negative feedback is kept private and sent directly to the business owner. This approach helps businesses improve their service quality while protecting users' privacy. [How to Send Negative Feedback](/product/for-user/dagama-app-user-guide#negative-feedback)
#### **Impressions**
Impressions are detailed posts where users share in-depth accounts of their experiences at a specific location. To create an Impression, a Check-in must be selected, linking the content to a verified geolocation. Impressions can include ratings, offering valuable insights to the community. Only verified locations are eligible for Impressions, ensuring content reliability. [How to Create an Impression](/product/for-user/dagama-app-user-guide#impressions)
#### **Memo**
Memos are quick, story-like posts with minimal content requirements, such as a photo or video. When a Check-in is linked to a Memo, it appears on the location’s card, increasing its visibility and providing other users with up-to-date perspectives on the place.
By combining these features, daGama fosters a trustworthy and dynamic environment where users can explore and recommend places with confidence. The system empowers users to share authentic experiences while ensuring that businesses are represented accurately and fairly.
### Creating itineraries
Itineraries are collections of locations put together by users to build custom travel routes. Especially helpful for tour operators, guides, and tourists, providing a chance to make money from well-traveled routes.
Users can design customized tourism itineraries according to their interests and preferences using the daGAMA project's itenarary creation mechanics.
Users can obtain an itinerary in the following ways
| **Method** | **Description** |
| -------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Independently | The user creates his own route, modifying it to suit his personal preferences and mood. |
| With AI | Artificial intelligence generates a travel itinerary for the user based on their interests. It is powered by [AI Vasco Recommendation Algorithm.](notion://www.notion.so/o/t6xSiSnVr1GCP7oWmA0p/s/1AEOSTXDDSHXzs1CWPxq/~/diff/~/changes/51/~/revisions/u6bpd6sTMH2wRYmGiqEg/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm) |
| Buy a ready-made itinerary | Our users have the opportunity to buy a route from experienced guides, or to repeat the route of their favorite blogger. For this reason, this route needs to be available for purchase. Users can also sell their own routes in addition to purchasing a route. |
In the event that the user loses network connectivity, we have made it possible to download the route to your phone for convenient interaction.
# daGama app User Guide
### **Check-In**
Start your daGama journey with a Check-In! This is your first step toward creating unique content and validating your experiences. Before you proceed, make sure to review the [daGama Community Guidelines](https://www.dagama.world/dagama-community-guidelines) to ensure your contributions meet our standards.
#### **How to Create a Check-In:**
1. Sign up in the daGama app.
2. Be physically present at the location you want to mark.
3. Open the creation menu and tap **"Create Check-In."** \[Screenshot]
4. Fill in the details:
* Add a name for your Check-In.
* Adjust the location if needed.
5. Save your Check-In.
Your Check-In will appear under **"Discoveries"** If the location is unique, you’ll become its **Pioneer**, unlocking exclusive rewards. Don’t miss the chance to be the first!
#### **Check-In Validity:**
To keep experiences current, Check-Ins remain valid for 30 days.
***
### **Recommendations**
Want to share your favorite places? Recommendations allow you to showcase your best finds! Please review the [daGama Community Guidelines](https://www.dagama.world/dagama-community-guidelines) before sharing your recommendations.
#### **What Are Recommendations?**
Recommendations let you share both positive and constructive feedback about places. They can be:
* **Verified Recommendations:** Created with a Check-In.
* **Unverified Recommendations:** Added without a Check-In and require community verification.
#### **How to Create a Verified Recommendation:**
1. Sign up in the daGama app.
2. Create a Check-In for the location.
3. Open the menu and select **"Share Impressions"**.
4. Choose a Check-In:
* **Existing location:** Use a Check-In with a photo cover.
* **New location:** A Check-In without a cover shows you’re the Pioneer.
5. Complete the details:
* Add the name and address.
* Select up to 3 categories.
* Upload media (at least 3 photos/videos; up to 300 MB).
* Write a description (50–2,000 characters).
6. Share the Recommendation.
Congratulations! You’ve become a **Pioneer** and opened a new location for the community.
#### **How to Create an Unverified Recommendation:**
1. Sign up in the daGama app.
2. Open the menu and select **"Share Impressions."**
3. Select **"Add Recommendation Without Check-In"** from the menu.
4. Provide:
* Name and address of the place.
* Category.
* Date of visit.
* Media upload.
* Description (50–2,000 characters).
5. Share the Recommendation.
Remember, these recommendations require verification.
***
### **Verification System**
Verification ensures trust within the platform. Locations can be verified through:
1. **Moderators:** Ensure recommendations comply with guidelines.
2. **Pioneers:** Verify locations by adding Impressions.
3. **Community:** Users validate places via their Check-Ins.
Once verified, you can become a **Reviewer** and share rewards with the Pioneer.
***
### **Negative Feedback**
Sometimes, services may not meet expectations. daGama lets you provide constructive feedback directly to the business owner, helping them improve.
#### **How to Send Negative Feedback:**
1. Sign up in the daGama app.
2. Create a Check-In for the location.
3. Open the menu and select **"Share Impressions."** \[Screenshot]
4. Choose the option to leave Negative Feedback.
5. Complete the form:
* Name and address of the place.
* Category.
* Media upload.
* Detailed description (50–2,000 characters).
6. Send feedback.
Your feedback will remain confidential.
***
### **Impressions**
Inspire others with your experiences! Make sure to review the [daGama Community Guidelines](https://www.dagama.world/dagama-community-guidelines) to maintain high-quality content.
#### **How to Create an Impression:**
1. Sign up in the daGama app.
2. Create a Check-In for the location.
3. Select **"Share Impressions."**
4. Complete the form:
* Add a rating (overall or by category).
* Upload at least 3 photos/videos.
* Write a description (50–2,000 characters).
5. Share Impression.
Your review will help others make informed decisions, and you’ll earn additional rewards!
***
### **Activities**
This section is your gateway to earning credits and exploring new adventures.
#### **Tasks**
Access task cards with descriptions and conditions. Complete them before they expire!
#### **Wallet**
View your balance and transaction history. Your credits are your key to unlocking new opportunities!
#### **Library**
Gain access to guides and instructions for making the most out of daGama.
# daGama Airdrop Program
Join the first daGama Airdrop Season — a Web3-powered explorer space where you can earn DGMA tokens by traveling, creating content, and contributing to the community.
The program is built around real activity: connect your wallet, complete quests, participate in votes, mint your discoveries as NFTs, and share your journey through social platforms.
**Start here:** [airdrop.dagama.world](https://airdrop.dagama.world/)
### **Why Participate?**
* Early access to token distribution **before TGE**
* On-chain activity with DAO voting and NFT minting (testnet)
* Social quests and XP rewards for content
* Leaderboards across multiple domains: Referrals, X (Twitter), YouTube, Testnet
* **Status tiers** (Bronze / Silver / Gold) with XP multipliers
* **Partner status** — a non-expiring ×1.1 multiplier
### **How to Earn XP**
* Complete [**basic and additional tasks**](/product/for-user/dagama-airdrop-program/task-execution-guide#basic-tasks)
* [Vote for places and mint NFTs](/product/for-user/dagama-airdrop-program/task-execution-guide#testnet-activity)
* [Invite friends — earn XP for active referrals](/product/for-user/dagama-airdrop-program/task-execution-guide#referral-program)
* [Post and review about daGama](/product/for-user/dagama-airdrop-program/task-execution-guide#content-on-x-and-youtube)
* Stay consistent throughout the weekly sprints
#### **Reward Timeline**
All actions in the program accumulate XP.
The Airdrop Season divided into **weekly sprints** with new quests and leaderboard updates.
At the end of the season, total XP is calculated across all domains. Based on final scores, status levels are assigned, multipliers applied, and **DGMA tokens are distributed to participants’ wallets**.
# Task Execution Guide
### **Basic Tasks**
To be eligible for the daGama Airdrop Program, you must complete two core actions:
#### **1. Log in to the Airdrop Dashboard with your wallet**
Make sure you're using a wallet you’ll have long-term access to — all future onchain actions must be done from this same address.
**Start here:** [airdrop.dagama.world](https://airdrop.dagama.world/)
{% hint style="warning" %}
This is the primary address where your DGMA tokens will be sent.
{% endhint %}
#### **2. Link the mobile app to your Airdrop account**
Download the daGama app from [App Store](https://apps.apple.com/ru/app/dagama-monetize-your-reviews/id6477780357) or [Google Play](https://play.google.com/store/apps/details?id=com.umap.dagama).
Enter your unique referral code from the app into your Airdrop dashboard. This confirms your active usage.
***
#### **Additional Quests**
Additional quests offer more XP and unlock new earning paths such as social posting and bonus campaigns.
* **Daily check-in**
Activates once every 24 hours. Just log in to your dashboard and click **“Claim”** — it’s a quick way to stack up XP.
* **Follow daGama on X (Twitter)**
link your account and subscribe to [@daGama\_World](https://x.com/dagama_world)
* **Join Telegram**
Stay informed and earn XP
* **Verify your email**
Secure your account and earn XP
* **Link your YouTube channel**\
To appear on the leaderboard, videos published on YouTube must be linked to your account.\
Simply connect your channel to make your content count.
***
### **Testnet Activity**
Testnet interaction is a core component of the program. Currently available:
* DAO voting on community-submitted places
* NFT minting for verified discoveries
#### **DAO Voting**
All users can vote. Support your own place or others. Each vote helps improve content quality across the ecosystem.
{% hint style="success" %}
Support quality content — your vote shapes the airdrop.\
**What makes a place worth keeping?**
* 3–20 clear and engaging photos
* Honest, detailed impressions and personal tips
* Check-in proof (real visit = real value)
* Original and well-structured text
Help keep daGama valuable for everyone — [read the rules here](https://www.dagama.world/dagama-community-guidelines).
{% endhint %}
**How to vote:**
1. Find a place tagged “Let’s Vote!” on the map or feed
2. Tap "Vote for the location" and select:
— *Keep place*
— *Remove place*
3. Sign the transaction After clicking the “Remove Place” or “Keep Place” button, you will be redirected to the wallet signature window.
{% hint style="warning" %}
**Attention!** Use the same wallet connected to your Airdrop account. Otherwise, your vote won't count.
{% endhint %}
{% hint style="info" %}
You can sign the transaction using MetaMask or any other Web3 wallet.\
Tested and working smoothly: Trust, Bybit, 1inch, iopay, OKX. Using a VPN may cause connection issues.
{% endhint %}
#### **Minting NFT Locations**
Every user can mint their verified discovery into an NFT — a key on-chain activity in the program. Make every post count — earn more by sharing better.
{% hint style="success" %}
**Focus on high-quality content** — the better your recommendations, the higher your airdrop rewards.\
**What counts as quality?**
* 3–20 clear, engaging photos
* Detailed personal tips & honest impressions
* Check-in proof (you’ve actually been there)
* Original, well-structured text
📖 [Read full guidelines](https://www.dagama.world/dagama-community-guidelines)
{% endhint %}
Only locations that pass MLAFS (anti-fake system) are eligible.
**Steps:**
1. Create a Recommendation
Visit the location, check in, add photos, a description, and mark it on the map — then publish it. A step-by-step guide is available in [our user manual](https://wp.dagama.world/product/for-user/user-guide).
2. On the card of your submitted location, wait for the “Mint Location as NFT” button to appear.
Minting NFT Locations
3. Sign the Transaction
After clicking the “Mint Location as NFT” button, a wallet signature window will open — just like any standard Web3 operation.
{% hint style="info" %}
You can sign the transaction using MetaMask or any other Web3 wallet.\
Tested and working smoothly: Trust, Bybit, 1inch, iopay, OKX. Using a VPN may cause connection issues.
{% endhint %}
After minting, return to [your Airdrop dashboard](https://airdrop.dagama.world/tasks/#testnet). NFT data and XP will be reflected in the Testnet tab (may require a few refreshes). Leaderboard updates daily.
***
### **Referral Program**
daGama rewards active community builders.
#### To qualify, your referral must
1. Complete both **Basic tasks**
2. Perform at least one additional action (social, vote, mint, etc.)
You earn **+15 XP** per qualified referral.
#### **Bonus**
You get **+10% XP** from all non-basic XP your referral earns.
***
### **Content on X and YouTube**
Create content — earn XP — climb the social leaderboard.
{% hint style="info" %}
Share real insights: reviews, walkthroughs, impressions. Authenticity matters.
{% endhint %}
#### **Rules**
1. Must post from a **linked account** (X or YouTube)
2. Content must be **original and recent**
3. Stay consistent to maintain rank
#### **Resources**
* [Media Kit](https://dagamaworld.notion.site/daGama-Media-Kit-e681daa88ec745b188a513df62111a58?pvs=4) — logos, screenshots, UI visuals
* [Website](https://www.dagama.world/) — project overview & vibe
* [Pitch Deck](https://www.dagama.world/pitchdeck) — quick look at the mission
* [Whitepaper](https://wp.dagama.world/) — full breakdown of mechanics & daGama philosophy
{% hint style="info" %}
**Influencers:** contact us for special collaboration terms.
{% endhint %}
***
### **Leaderboards & Rewards**
XP is tracked across four independent categories:
* [Referrals](https://airdrop.dagama.world/leader-boards/)
* [X (Twitter)](https://airdrop.dagama.world/leader-boards/#x_tv)
* [YouTube](https://airdrop.dagama.world/leader-boards/#youtube)
* [On-chain (Testnet)](https://airdrop.dagama.world/leader-boards/#testnet)
#### **Status Levels**
Your highest performance across categories determines your season-end status. Multipliers apply to total XP before token conversion.
#### **Partner Status**
Registering via a **partner referral link** grants a **non-expiring ×1.1 multiplier**. Partner status does **not stack** with tier statuses. If no leaderboard status is retained, partner status ensures you still receive Airdrop.
{% hint style="info" %}
At the end of the season, all XP across categories is summed and multiplied by the applicable multiplier (based on status or partnership), then converted into DGMA tokens.
The airdrop is granted only to participants who **maintain a position on the leaderboard** in at least one category.
{% endhint %}
# For business
For synergy with businesses, daGama has developed a business panel that includes an AI assistant Vasco. Business panel offers the ability to create your business profile, add photos, working hours, introduce your team, respond to user’s reviews.
The daGama impressions map allows users to add businesses, and all those businesses can access the business panel and its internal features. In order to accomplish this, it must acquire a subscription and go through verification.
The business needs to be verified and pay for a subscription before they can use the business panel. The following components are accessible through the business panel:
* [Functionality for internal use](/product/for-business/business-panel)
* [Functionality for business development in the project](/product/for-business/promotional-tools)
# Business Panel
DaGama pioneers add all locations because the map is made entirely of user-generated content(**UGC)**.A business owner must go through verification in order to be granted access to advanced functionality and management of the company profile. The benefits listed below are available to businesses who successfully **pass** DaGama **verification**.
## Business Profile
The opportunity to customize the company profile, add descriptions and photos, and mark the business with a **special badge** in the **place profile**. Also, upon purchasing access to the business profile, the company gains the ability to communicate with customers and receive feedback.
## Promotional Tools
Any business wants to increase its number of clients, and we have provided for this moment. We do not wish to repeat the typical marketing narrative in which capital size plays a significant role. Interaction with our [growth system](/product/for-business/promotional-tools) is contingent upon the successful completion of the verification process.
Our model allows company owners to advertise their businesses. We have designed a new concept aimed at stimulating organic interest. Additionally, our [AI Vasco](/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm) algorithm generates personalized recommendations to increase the reach of connected businesses.
[Promotional tools](/product/for-business/promotional-tools) are:
* Boost system
* Virtual Events
* Reviewer’s Evaluation
* Special offers feed
* Targeting
Business development is closely related to the[ recommendation system and our algorithms](/architecture/trust-rating-algorithm/ai-vasco-recommendation-algorithm).
## Loyalty program
The partner program is designed for those managing an entire network of businesses or capable of connecting multiple businesses to the DaGama establishments.
Loyalty program also includes:
* Referral system
* [Rewards for contribution to the ecosystem](/economics/token-utility)
## Retail tools
Businesses can connect to the daGama **POS terminal** and set the amount of bonuses that are returned to customers after a purchase. This enables customers to pay for services using daGama bonus tokens. With this tool, you may **save on promotion** while **attracting new clients**.
# Promotional Tools
The purpose of the **Promotional Tools** on the daGama platform is to help businesses get the most out of their advertising spend by focusing on a **target audience** that is most likely to be interested in their goods or services. We utilize a recommendation mechanism to accomplish this.
### **Boost system**
Businesses can increase their **visibility** and **reach** potential **customers** with the use of the Boost system. Companies who purchase a Boost stand out from the competition and maximize their influence in the marketplace. They can also increase engagement and attract more customers who are near their goods or services for a predetermined period.
### **Virtual Events**
DaGama offers businesses the chance to **create engaging events** by guiding clients through various tasks across multiple locations. Here's a brief overview of how to set up a virtual event:
1\. **Event creation**: Businesses can create virtual events on the daGama app, specifying event details like date, time, description, category, and other necessary information.
2\. **Adding tasks**: Companies can provide their clients with a list of tasks to complete at the event, such as visiting specific locations, purchasing goods, taking pictures, or posting on social media.
3\. **Adding establishments**: Businesses can offer their customers a variety of places to visit, each with its own set of tasks and rewards.
4\. **Event publication**: Following publication, events are made available on the daGama app, where customers may register, view participating establishments, and access task lists.
5\. **Task completion**: Through the daGama app, clients may monitor their progress, visit venues, and finish assignments all while attending the event.
6\. **Receiving rewards**: Clients receive tokens, discounts, bonuses, or exclusive deals from the business after completing all activities.
### **Reviewer’s Evaluation**
By concentrating on client-related aspects like **establishment design** and **service quality**, the reviewer ordering service seeks to give businesses an unbiased quality check. This is how it works:
1\. **App for verification**: Businesses request a quality service check by providing necessary information and verification goals.
2\. **Initiation**: An anonymous reviewer conducts a thorough check at the establishment.
3\. **Inspection**: The reviewer assesses various aspects like design, service quality, and overall service level.
4\. **Report delivery**: Upon completion, the reviewer provides a detailed report of the check results.
Regular reviewer engagements offer business owners **impartial feedback**, fostering trust within the DaGama community. The memorability of the event is increased for clients through immersive interactions with a variety of establishments and tasks. Additionally, businesses gain audience exposure and access valuable data for **analyzing consumer behavior** and optimizing future marketing strategies.
### **Targeting**
Targeting systems allow businesses in the hospitality industry, including restaurants, hotels, and other venues, to tailor their recommendations and services **based on specific customer preferences**, behaviors, and demographics. By analyzing data such as past purchase history, browsing patterns, location information, and user feedback, these businesses can create **personalized experiences** for their customers.
### Special offers feed
In the app's Special Offers Section, businesses can **highlight exclusive combos**, tailored discounts, packages, and perks designed specifically for travelers. By leveraging this feature, businesses can drive sales through promotions. Moreover, travelers benefit from **accessing unique offers** that enhance their overall experience while saving on expenses during their journeys. Overall, the Special Offers Section presents a win-win opportunity for both businesses and travelers, creating a **dynamic platform for promoting** and **discovering value-added services** within the realm of travel recommendations.
# Multi-Level Antifake System (MLAFS)
The first level of the system is registration and login verification. If the account is logged in on another device, it will be disconnected from the previous device. In addition, it reads the fingerprint of the device to interact with it on further levels.
Digital watermarks:
* **Secure digital signatures.**
* **Unique content digests.**
* **Embedded digests in content.**
* **Metadata storage for images and videos.**
* **Non-visible pixel patterns.**
* **Enhanced trust for signed visual content.**
* **Biometric layer of security.**
Level 2 interacts with the device fingerprint and [analyzes user behavior](/architecture/multi-level-antifake-system-mlafs/user-behavior-analysis) - it is a supervised learning system for anomaly detection. The system accumulates an extensive collection of user related data. Group behavior is analyzed where attempts to manipulate reviews and ratings are detected.
At level 3 and 4, verification is done using sync and async algorithms. Thanks to [verification pipeline](/architecture/multi-level-antifake-system-mlafs/verification-pipeline) we can detect incorrectness of fake reviews and determine their quality.
After that, verification subsystems come into play to issue a red or green flag on the content
**Green checks** are actions or verification measures that boost a content piece's trust value by adding protective measures, like digital watermarking or biometric verification.
On the other hand, **Red checks** aim to identify content that may be fraudulent or malicious, using tools such as machine learning for authenticity analysis and pattern recognition to spot likely fraud.
The blockchain and DAO act as a level 4-5. The community members who take the role of moderator additionally filter the feedback. Finally, the information is sent to the blockchain.
A cornerstone of our system's approach to preserving the integrity of reviews is the active engagement of our community. The Feedback and Reporting Mechanism is designed to empower users, giving them a direct role in safeguarding the trustworthiness of our platform. This subsystem combines user-friendly interfaces with sophisticated automated processes to ensure that suspicious content is swiftly identified, reported, and reviewed.
**Empowering users with intuitive reporting tools**
Understanding that the effectiveness of this mechanism relies on the active participation of our users, we've developed an **intuitive interface** that makes reporting suspicious reviews straightforward and accessible. This interface is seamlessly integrated into our platform, allowing users to **flag content that appears fraudulent**, misleading, or inappropriate with just a few clicks. By simplifying the reporting process, we encourage a proactive community vigilant against dishonest practices.
**Automated review and escalation**
Upon receiving a report, our system initiates an automated review process. This process employs a series of algorithms designed to assess the credibility of the reported content based on predefined criteria, such as the review's **deviation from typical patterns, the reporting user's history, and the context of the report**. Content that triggers red flags is then escalated to our team of moderators for further investigation.
**Leveraging community insights for continuous improvement**
The insights gathered from reported content play a crucial role in the continuous evolution of our detection algorithms. By **analyzing patterns in reported reviews**, our system learns to better identify fraudulent behavior, enhancing its ability to autonomously detect suspicious content. This feedback loop not only improves the efficiency of our review process but also strengthens the overall security of our platform.
**Data-driven model refinement**
Information from user reports and moderation outcomes is critical for refining our ML models. This includes **ML Captcha** and Behavior analysis systems, where such data informs supervised learning, allowing for nuanced detection of fraudulent behaviors. Continuous input from the community and moderation actions form a feedback loop, systematically enhancing model sensitivity to new and emerging fraud patterns.
# User behavior analysis
The behavior analysis system is a sophisticated component of our platform's security measures, focusing on the broader patterns of user activities to identify authenticity and potential fraud. Here's how it functions:
* **Gathering macro-level behavior data.** This system captures wide-ranging data on user activities, such as geographical movements, places they've visited, posts they've created, social interactions, and even how often they open the app. This broad spectrum of data offers a comprehensive view of a user's behavior over time.
* **Supervised learning for anomaly detection.** By applying supervised learning techniques to this accumulated data, the system can identify deviations from normal behavior patterns. These anomalies serve as indicators for Red Checks, helping to assess how typical or suspicious a user's actions are. This process is crucial for distinguishing not just bots but also real users who may be engaging in deceptive practices, such as posting inauthentic reviews.
* **Uncovering coordinated efforts.** As the system amasses a vast collection of user event data, it also employs unsupervised learning methods to uncover patterns that may indicate coordinated fake review campaigns. By analyzing group behaviors, the system can spot orchestrated efforts to manipulate reviews or ratings, providing an additional layer of fraud detection.
* **Early bot detection and content integrity.** Importantly, this behavior analysis isn't just reactive; it's proactive. By continuously monitoring and learning from user behavior, the system can flag suspicious activities early—sometimes even before fraudulent content is created. This early detection is invaluable for maintaining the platform's integrity, allowing us to intercept bots and fraudulent actors right at the onset of their activities.
In summary, the Behavior analysis system serves as a powerful tool for maintaining the authenticity of our platform. By analyzing user behaviors on both an individual and group level, it helps to unveil bots, identify users engaging in unnatural review practices, and detect coordinated attempts to undermine the platform with fake content. This comprehensive approach ensures a trustworthy environment for all genuine users.
# Verification pipeline
The concept of "guilty until proven otherwise" in our system begins with the premise that all content starts with a trust value of 0.0, indicating a neutral, unverified state. From this starting point, each piece of content undergoes a series of checks by different verification subsystems designed to assess its authenticity. As the content passes through these checks, it accumulates positive or negative scores based on the results from each subsystem. These individual scores are then added together to form a total cumulative trust value for the entire review. A higher cumulative trust value indicates a higher degree of authenticity, showing that the content has been validated as genuine by multiple layers of verification. This method ensures that only content that consistently demonstrates its authenticity across various checks achieves a high trust score, embodying the principle of starting from a position of skepticism and requiring proof to establish credibility.
The initial step in the verification pipeline involves breaking down user inputs into their smallest parts, starting with each marked as "not yet checked." This detailed method lets us closely examine every bit of content to make sure nothing is missed. As we check each part, it moves from being "not yet checked" to being confirmed as authentic, gradually building up a review that is true and reliable.
### **Technological methods**
* **Authenticity and uniqueness image recognition algorithms.** Analysis of similarity with known images, comparison of metadata and other technical characteristics of photographs (geo, creation time, resolution).
* **Anomaly detection and text signatures**. Identifying statistical deviations and unique stylistic features.
* **Cross-check**. Detecting duplicates of content (text).
### **User Motivation and verification**
* **Identity verification and Proof of interaction**. Presence of a geotag from the location, photo with a digital signature confirming authenticity, Cross-account verification, and request for photos/receipts.
* **Limit on the number of reviews**. Introducing limits to prevent spam.
* **Master questionnaire**. Creating personalized surveys by place category. (For example, if we decided he is a bot)
### **Transparency and moderation**
* **Publication of rules and criteria**. Open information about moderation processes. (Instructions for the user on creating trustworthy content)
* **Informing users and feedback**. Notification about the status of reviews and the possibility to discuss moderation decisions.
* **Manual review and discussion of reviews**. A team of moderators for quality control and interaction with businesses.
* **Public grant program.** A program to attract external researchers to improve methods of detecting fakes. (Invitation to "hack" our system)
### **Adaptation and update**
* **Regular update of moderation methods.** Adapting to changing trends in review manipulations.
### **Identity verification**
* **Cross-verification.** Phone, email, social networks, crypto wallet, KYC identity verification.
* **Biometric verification.** Using biometric data to confirm a user's uniqueness. (clarify regarding Android)
* **Proof of Interaction with business.** Requesting receipts or selfie photos, conducting transactions.
### **Technological measures**
* **Geolocation verification**. Checking the user's location, detecting suspicious changes in device location.
* **IP Address check and proxy/VPN analysis**. Identifying the use of proxy servers and VPNs.
### **Behavior analysis**
* **ML-capcha**
* Reaction Time Analysis: Studying the time intervals between actions.
* Behavioral Patterns: Analyzing user actions on the platform.
* **Activity history**. Analyzing the user's activity history.
* **Analysis of reviews and comments.** Examining the content created, text stylometry analysis.
### **Technological methods**
* **Photo and video verification.** Digital signature of photos from the location, including the name of the establishment.
* **Uniqueness checks for locations.** Algorithms for analyzing images and descriptions for duplications.
* **Cross-check with other services.** Data verification of the location with information from reliable sources and mapping services.
### **Social and community-oriented methods**
* **Verification through community.** Inviting users for location verification, bonuses for the role of Inspector.
* **Limit on creating locations for new users.** Requirement of a certain level of activity and trust to add locations.
### **Verification and identification methods**
* **Digital Identification and account verification**. Strengthening the requirements for verifying the identity of the place creator through multi-factor authentication.
### **Manual and moderation methods**
* **Manual moderation**. Creating a team of moderators to check dubious locations and complaints.
* **Public control and feedback**. Implementing a system of feedback and complaints about locations from the community.
# Trust rating algorithm
The creation of a trustworthy service is not only related to the ability of users to create content aimed at evaluating places but also to the ability to interact with each other's content.
The subsystem of evaluation affects the motivation of users to create exclusively honest and high-quality material. To implement this functionality, such user characteristics as activity level, trust rating, and weight in the system are introduced. The user's content directly affects their rating, depending on the reaction of other application participants.
Users, by evaluating content, change its weight in the system and, accordingly, its rating indicator. In turn, the updated post indicators affect the weight and rating of the content creator user.
Moreover, users, by performing targeted actions such as evaluation, creation, etc., change their own level of activity, as shown in the figure. The user's activity level is involved in the formula for calculating the personal trust rating and is an important user characteristic that reflects their involvement in the system.
The structure of interactions, implementing a closed system for calculating weighted coefficients, allows for more accurate rating indicators of the place and thus ensures the necessary level of trust in the system as a whole.
# AI Vasco recommendation algorithm
AI Vasco is a recommendation system that is constantly being retrained. The retraining is done to provide the user with recommendations that match their interests. Our system interacts with:
* Databases of tags, points, and ratings
* The locations that the user visits
* The content that the user posts
* The categories of establishments
* The ratings and reviews
By interacting with these elements, AI Vasco provides the user with a result in the recommendation system. This feature ensures that our users are only presented with relevant content.
In addition, the [recommendation system](/product/for-business/promotional-tools) helps businesses attract new customers. daGama only recommends places that will be of interest to the user, eliminating unnecessary information from their life.
AI Vasco is also used when[ creating itineraries](/product/for-user/creating-recommendations-and-iteneraries), offering the user a route they can take that is based on their interests.
By retraining and learning more about each user, AI Vasco will always provide the most relevant recommendations for users.
# DAGAMA 2.0: PROOF-OF- PRESENCE (POP) PROTOCOL
### Introduction
This document provides an extended discussion of the challenges related to location determination and proof of physical presence, as well as an introductory overview of the architectural approach to building a Proof-of-Presence (PoP) protocol.
### Why a Proof-of-Presence Layer Is Needed
Modern digital services increasingly require an understanding of user actions in physical space: visiting a location, attending an event, completing a route, or interacting with a physical object. However, the infrastructure that enables trust in such data remains deeply centralized and opaque.
Most spatial and behavioral data is collected and controlled by a small number of technology giants—Google, Apple, payment networks, mobile OS vendors, and large API platforms. These corporations hold monopolistic access to geolocation data, routes, device identifiers, and activity signals. Users, developers, and businesses only receive *secondary access* to this data through APIs, reports, and interfaces, without any ability to independently verify its authenticity or completeness.
This situation creates several fundamental problems:
* **Manipulability and opacity:** Centralized providers can filter, distort, or aggregate data, eliminating the possibility of independent verification.
* **Lack of trust and anti-fraud weaknesses:** Systems based on self-reported location (GPS, check-ins) are easy to spoof; GPS spoofing, QR forwarding, and proxy-device attacks are common.
* **Excessive data disclosure:** When users share location data, they cannot control how much of it circulates further or who gains access.
* **Digital monopolization:** Only the largest players can build spatial analytics based on primary physical-world signals.
This leads to a contradiction:
> Demand for honest, privacy-preserving, and provable physical-world events is enormous, yet neither users nor independent projects can meaningfully work with spatial data without intermediaries.
### Solution: A Decentralized Presence Layer
To resolve this contradiction, an open and decentralized Proof-of-Presence (PoP) protocol is required. It must guarantee that:
* the event genuinely occurred in the physical world (e.g., a visit, participation, or route completion);
* the proof is cryptographically verifiable without relying on a trusted intermediary;
* no personal data is disclosed without consent;
* any interested party—business, application, user, or smart contract—can participate on equal terms and access trustworthy events.
PoP does not aim to replace centralized systems. Instead, it provides an alternative trust layer for Web3 and hybrid applications. Just as DePIN networks digitize infrastructure, PoP enables decentralized digitization of *facts of physical presence*, unlocking new interaction models between people, devices, and smart contracts.
### Problem Statement
#### Existing Positioning Systems and Their Limitations
Modern positioning systems combine multiple technologies depending on the environment (outdoor/indoor), infrastructure availability, and accuracy/latency requirements. Commercial solutions typically fuse GNSS, cellular positioning, Wi-Fi, proximity protocols (BLE, NFC, UWB), and inertial/visual sensors, followed by GIS-level interpretation (geofencing, POI matching, map-matching).
In practice, this answers the question *“where is the device approximately?”* but is insufficient when a **provable physical event** is required.
**GNSS (GPS/Galileo/GLONASS/BeiDou)** provides global coverage and acceptable accuracy outdoors, but degrades in urban canyons and indoors. More importantly, GNSS is not proof—it is a measurement vulnerable to interference and spoofing. It answers *where the device believes it is*, not whether an independent verifier can trust the event.
**Cellular positioning (4G/5G)** relies on timing, angle, or power measurements from base stations. While resilient where GNSS fails and increasingly standardized in 5G, results depend heavily on operator policies, station density, and radio geometry. It remains an estimate, not a cryptographically verifiable proof.
**Wi-Fi positioning and Wi-Fi RTT (FTM)** are widely used indoors and can reach meter-level accuracy, but suffer from NLOS, multipath, chipset variance, and infrastructure instability. Fingerprinting requires ongoing calibration and maintenance.
**BLE beacons and proximity mechanisms** offer cheap and scalable proximity detection, but RSSI is noisy, signals can be relayed or emulated, and proximity does not always equal physical presence.
**UWB and RTLS** provide high-precision ranging and are strong in controlled environments. However, they require infrastructure and are still vulnerable to advanced attacks unless combined with multi-layer verification.
**Inertial and visual methods (IMU/PDR/VIO)** provide high-frequency relative motion but accumulate drift and require external anchors.
**The GIS layer** converts coordinates into business facts (geofence entry, POI visit, route compliance). Many disputes arise here—not due to bad coordinates, but due to interpretation errors.
Overall, existing systems handle coordinates and context well, but suffer from four systemic limitations:
1. Quality degradation in complex radio environments
2. Lack of third-party verifiability
3. Vulnerability to attacks and economically motivated fraud
4. A conflict between data utility and privacy
For Web3 and DePIN, this is amplified by incentives: if physical events are rewarded, the motivation to fake them increases. Therefore, a dedicated infrastructure layer is required—one that confirms not *coordinates*, but *facts of events* under explicit verification policies.
### Key Issues and Criticism
In the 2020s, research focus shifted from maximum accuracy to **trustworthiness and system resilience**. GNSS research increasingly emphasizes spoofing and jamming resistance. Indoor systems struggle with NLOS and environmental instability. UWB, while precise, is not automatically secure without layered defenses.
At the same time, **centralization and privacy** have become critical concerns. Location data is among the most sensitive categories of personal information, enabling inference of habits, relationships, and social graphs. This creates a structural conflict: businesses want behavioral analytics and verified actions, while users reject full trajectory disclosure.
In IoT and DePIN, **economic incentives** further complicate matters. Once rewards are attached to presence, attacks emerge: Sybil identities, witness collusion, radio-environment emulation, edge-device compromise, and off-chain trust assumptions.
Across literature and practice, the conclusion is consistent: many applications require **provable events**, not raw coordinates. This demands trust minimization, privacy-by-design (including ZK proofs), and economic anti-fraud mechanisms.
### Technological Trends
* Rapid growth of the indoor/RTLS market
* Advancing 5G positioning standardization (3GPP Releases 15–18)
* Increased adoption and testing of Wi-Fi RTT/FTM
* Expansion of UWB and secure ranging, alongside growing academic scrutiny
* Rising GNSS jamming/spoofing incidents driving detection and mitigation investment
#### Threat Model
Key threats include:
* GNSS spoofing and jamming
* Replay and relay attacks
* Infrastructure impersonation (fake beacons/APs)
* Edge-device compromise (rooting, firmware tampering)
* Sybil attacks and validator collusion
* Data/model poisoning (if ML is used)
* Insider threats (operators, API providers, administrators)
***
### Requirements for Proof-of-Presence Systems
#### Functional Requirements
* Event confirmation: “entity was in zone X during time T”, “completed route”, “interacted with object Y”
* Third-party verifiability without raw sensor access
* Support for multiple scenario types (point, route, participation, interaction)
#### Non-Functional Requirements
* Integrity and confidence scoring
* Environmental robustness (NLOS, multipath, interference)
* Fraud resistance (spoofing, replay, Sybil, collusion)
* Scalability and batching
* Interoperability across signals, devices, and chains
* Privacy-by-design and controlled disclosure
* Auditability
* Reasonable total cost of ownership
***
### Target Properties of the PoP Layer
#### Trust Minimization and Independent Verification
Events are confirmed by independent validators and yield a cryptographically verifiable attestation usable by smart contracts.
#### Multi-Signal Robustness
Fusion of GNSS, Wi-Fi, BLE, UWB, IMU, and local anchors to handle real-world conditions.
#### Resistance to Economically Motivated Attacks
Stake- and reputation-based validator access, collusion detection, and policy-dependent assurance levels.
#### Privacy-by-Design
Only hashes/commitments are public; raw data is encrypted or omitted. ZK proofs enable statements like “was in geozone” without revealing coordinates.
#### Standardized Attestation Object
A PoP-Attestation includes:
* event type and ID
* time window
* zone/object identifier
* data commitment
* validator signatures
* confidence and policy metadata
#### Modularity (SDKs, Hardware, Contract Factories)
Mobile SDKs, hardware SDKs, APIs, and smart-contract factories enable rapid integration.
#### DGMA-Based Attestation Economy
DGMA acts as both settlement and incentive token, with mechanisms to keep mass usage affordable.
***
### PoP Protocol Architecture
The protocol consists of:
1. **Hardware / Edge Layer** — event generation at the physical boundary
2. **Validation Network** — oracle and validator cross-verification
3. **Publication Layer** — on-chain/off-chain anchoring
4. **Integration Layer** — SDKs, APIs, and contract factories
#### 5.1 Hardware Layer
Principles: data minimization, pseudonymization, multi-signal support, separation of fact from detail.
Sources include mobile devices, PoP hardware (beacons, terminals), hybrid QR/NFC/BLE triggers, and duration-based presence scenarios.
Each PoP event contains:
* event type
* target zone/object ID
* time window
* payload hash
* cryptographic authenticity markers
* pseudonymous participant ID
* optional environment indicators
***
#### Validation Layer: Oracle and Validator Network
Roles include:
* **Witness Nodes** (basic validation)
* **Geo-Verifiers** (geographic/context checks)
* **Consistency Nodes** (anti-fraud and pattern analysis)
* **ZK Validators** (zero-knowledge proof verification)
A local consensus model confirms each event via a configurable quorum, producing a PoP-Attestation.
# Blockchain
Our platform utilizes blockchain technology specifically for three purposes: rewards, secure storage, and anti-fake system. WEB3 provides users with full control over their data, including the content they create and the assets within the applications. Also, the token economy assists in ensuring fair distribution of rewards to users who supports ecosystem.
## Post & Earn
We award beneficial activities that strive to improve the ecosystem with the daGama utility token. Through a variety of activities within our role-based system, users can accrue project tokens. A user's ranking, the value of their prizes, and their likelihood of receiving drops all increase with the number of activities they do.
## Hold token & earn (Staking)
We also provide our own daGama token, which is awarded to users for creating and moderating recommendation content. This token has a wide range of uses in the application, from paying for business services to increasing the user level and purchasing premium accounts. Users can also use tokens to participate in various roles in the system and receive additional rewards. Users can also use [staking](/architecture/blockchain/staking). More information about the utility of the daGama token can be found in the Token utility section.
Interaction with the decentralized layer takes place through a set of smart contracts and web3 services.
## MLAFS blockchain interactions
Our [MLAFS](/architecture/multi-level-antifake-system-mlafs) development at the latest level interacts with the blockchain. This interaction involves the transfer of data that has passed through our algorithms.
## Membership card
[daGama's NFTs](/architecture/blockchain/membership-card-nft-id) give owners special privileges such as discounts and additional services in various fields. These tokens can be purchased on special platforms or directly from the business that issues them and can be used to obtain privileges or sold on the secondary market. More detailed information about the use of NFTs can be found in the NFT utility section.
> daGama helps to combine the familiar and convenient interfaces of the Web2 universe with the power and speed of Web3 technologies. Interact with dApps, cryptocurrency wallets, and other Web3 applications without any problems and long switches. We provide a seamless, comfortable, and familiar interaction for users.
# Membership Card (NFT ID)
daGama's NFTs provide their owners with special privileges, such as additional terms, discounts, and other bonuses. These privileges can apply to various fields, such as travel, entertainment, gastronomy, and others.
For example, the owner of a daGama NFT for a hotel may get extra benefits like complimentary breakfast or late check-out, and the owner of an NFT for a restaurant may earn a discount on certain dishes or beverages.
In addition, daGama NFT owners receive increased profitability in [staking](/architecture/blockchain/staking).
# Staking
**The formula for distributing rewards** uses the weight of the user's participation at the time of placing the bet, which is calculated as follows:
$$
W\_x=Q\_x \times T\_x \times M \times NFT
$$
$$Q\_x$$ - user's token amount X
$$T\_x$$ - user's level X, which depends on the number of tokens
| Tier # | Q | T |
| :----: | :------: | :--: |
| 1 | > 100000 | 1.2 |
| 2 | > 50000 | 1.15 |
| 3 | > 15000 | 1.1 |
| 4 | < 15000 | 1 |
$$NFT$$ - The NFT multiplier. If the user has an NFT in their wallet, the variable is equal to 1.1, if there is no NFT in the wallet, the variable is equal to 1.
$$M$$ - The staking period multiplier, which is determined as a function that depends on the duration of the token bet, measured in weeks and calculated according to the formula:
$$
M = 1 + 0.5 \times W^{0.65}
$$
$$W$$ - Number of weeks: 16, 32, 52, 104 weeks. The maximum multiplier is limited to 12
## Limitation APR
Considering that the platform is subject to changes, especially when placing a minimum number of tokens, precautionary measures have been taken to prevent excessive fluctuations and potential exploits. Therefore, they are limited to 35%.
# Tokenomics
# Token Utility
**DGMA** is a **utility token with a fixed supply** that powers the daGama ecosystem. Within the daGama ecosystem, our token is used to pay for services, gain access to additional features, and receive rewards.
A cornerstone of the DGMA token's utility is the **Post & Earn** mechanism. The ecosystem employs a **role-based model** that encourages user engagement and valuable content creation by rewarding users with DGMA tokens for their contributions.
For example, u*sers can earn* DGMA *tokens for creating high-quality reviews and recommendations, as well as for discovering new places and events.*
### Business utility:
* Business Profile
* Promotional Tools
* Loyalty Program
* Retail Tools
Acting as the main token acquirers, businesses harness DaGama's tools to produce real-world profits and share a fraction of those proceeds.
**The Business Panel** and **Promotional Tools** sections provide an in-depth exploration of the business-DaGama interaction.
### Users utility:
* Profile Customization
* Additional Features: comprehensive travel planning tools, memory map, and more.
* Discounted In-App Services
* Payments for Third-Party Services
* Crowdfunding & donations for exclusive content, experiences and secret locations
* [Membership Card (NFT)](/architecture/blockchain/membership-card-nft-id)
A key aspect of our economic model is based on the idea that users can become useful members of **the daGama DAO community** and earn tokens instead of having to buy them. Businesses monetize users in return for their input. More details about the rewards system are available below.
### Continuous Reward Pool
We employ an infinite pool mechanism for rewards. The token distribution economic model takes into account user contributions to the ecosystem and their reputation.
* The Reward Pool is segmented into **epochs**.
* Each containing a predetermined number of rewards.
* Each epoch spans TWO weeks, concluding with a token distribution via **loot boxes.**
The reward size and acquisition likelihood for each era are thus dictated by the prevailing token balance in the prize pool and the rarity of the loot box.
### **The Impact of NFTs on Reward Distribution**
Holding a **Membership Card** has a direct impact on how many rewards a user gets when tokens are distributed at the end of the epoch.
NFT holders enjoy **enhanced discounts** and **bonuses on in-app products**, along with increased [**staking**](/architecture/blockchain/staking) APR.
### Token Burn Mechanism
Upon purchasing premium accounts, tokens will be transferred to **daGama's treasury**. From this treasury, tokens will be burned on a monthly basis.
In addition to burning tokens from premium account purchases, the project will also burn excess tokens from the rewards pool and drops. This occurs when the number of participants is insufficient to effectively distribute rewards at the end of the epoch.
### Economic Model (PoP)
PoP-Attestations are the core value unit. DGMA flows across:
1. Edge infrastructure
2. Validation/consensus
3. Publication/indexing
4. Product/API access
5. On-chain artifacts (NFTs, claims)
Staking and reputation protect the network, while the treasury funds development, security, subsidies, and ecosystem growth. Mass adoption is enabled through subscriptions, subsidies, and fiat-pegged pricing models.
# Role of the users
## **Role of the users**
**daGama** is a platform where every user plays an important role and can benefit from participating in the community. We offer various roles, each with its own functions and benefits.
**Researcher** - is a person who actively shares reviews about visited places. They create honest reviews and impressions, which improves the quality and usefulness of the content on the platform. Researchers can earn tokens for quality reviews.
**Pioneer** - is a traveler who discovers new unusual places for the community. They publish information about new, unexplored places, which allows expanding the map of places with unique locations. Explorers can receive tokens for each new place discovered.
**Inspector** - is a researcher who may independently and upon request from the businesses confirm the accuracy of the information in the locations. Their impartial investigation and place verification raises the reliability of the information about places on the platform. Inspectors can earn tokens for the research conducted.
**Monetizer** - is a user or entrepreneur who connects businesses to the platform. They attract new businesses and places to the daGama ecosystem, increasing the number of locations and services that are accessible to users. Monetizers can receive tokens for each successfully connected business.
**Moderator** - is a user who assesses how authentic and high-quality the content is. They evaluate reviews and influence location ratings, ensuring the reliability and relevancy of the information posted on the platform. Moderators are rewarded with tokens for helping preserve the quailty of content.
**Entrepreneur** - is a business owner who manages the pages of their places within the application. They can manage information about their business and interact with the audience, enabling them to provide users with up-to-date information and special offers. Entrepreneurs can attract customers and increase the visibility of their business.
Join us and choose your role in daGama!
# Team
# Partners
# June '24
**June 15, 2024**\
*Added:*\
AI-based text auto-translation from various languages to English UX analytics tool to make our interface better
*Started:*\
The development of AI for the MLAFS (Multi-Level\
Anti-fake System) has begun. This system is designed to protect against fraud\
\
**June 24, 2024** \
*Added:*\
App registration via email\
UI design changes based on tester feedback\
Fingerprint authentication\
Location ranking in the feed
\
# July '24
**July 10, 2024**\
*Added:*\
We optimized the CI/CD pipeline, streamlining the integration of new features from developers into the application and significantly reducing release cycles.\
By optimizing the CI/CD pipeline, we accelerated the delivery of new features by enhancing the integration process between developers and the application
\
\
**July 17, 2024**\
*Added:*\
UX/UI. Based on insights from alpha testers, we've significantly overhauled the process of creating new places and posts, making it more intuitive and user-friendly\
Anti-fake system. We've released our first version of an anti-fake system, composed of dozens of modules. One analyzes content, another the author, and so on. The system also employs a unique user-device fingerprint to prevent rating manipulation through multiple reviews, comments, and likes, while not interfering with core app functionality
\
\
**July 19, 2024**\
*Added:*\
Anti-fake system: We have prepared the initial implementation of our anti-fake system, which consists of dozens of modules. It evaluates content, its creator and reviewer according to various criteria in order to filter quality content as accurately as possible. The system uses a unique user-device (fingerprint) link to prevent rating spoofing through multiple reviews, comments and likes, without interfering with the main functions of the application.
# August '24
**Aug. 6, 2024**\
*Added:*\
Single Sign-On (SSO) authentication.\
Three types of ranking in the location: by popularity, time and date of creation, distance from the users location.\
Fixed bugs that occurred when users created memos\
\
**Aug. 23, 2024**\
*Added:*\
Now all reviewed places added by users are saved in the blockchain. In addition we create an NFT given to the user.\
Added conversion app points to daGama tokens and vice versa.
# October '24
**Oct. 9, 2024**\
*Added:*\
The app settings section has been completely updated. New settings have been added, and the interface has been made more user-friendly.\
Push notifications have been added.\
\
**Oct. 30, 2024**\
*Added:*\
Updated Interface Design and Functionality
* Saved Content Screen: Added a placeholder for improved usability.
* Profile Context Menu: Introduced a context menu button for streamlined navigation.
* Switch Design: Implemented a new, modern switch design.
* Interactive Map: Enabled map transitions when clicking on the user’s address.
* Updated Texts: Refined donation and check-in text for clarity.
Bug Fixes and Optimizations
* Place Cards: Resolved issues with place card functionality on the map.
* Navigation Fixes: Fixed returning to the current location after exiting a place card view.
* Feed Stability: Addressed crashes when scrolling to the end of the feed.
* Place Creation: Refactored functionality for smoother creation processes.
* Performance Enhancements: Removed external dependencies (MultiSlider and DGSegmentSelector) to boost performance.
# November '24
**Nov. 8, 2024**\
*Added:* \
Major Updates for Enhanced User Experience
* Localization System: Added multilingual support for a global audience.
* Global Feed: Introduced a worldwide feed with content type filters for personalized browsing.
* Carousel Redesign: Updated design for place carousels on the map for better visual appeal.
* Expanded Media Uploads: Increased the maximum number of photos per impression to 20.
* Interface Updates: Redesigned BottomSheet and standardized photo resizing formats.
* Profile Wallet Integration: Added a wallet button to the profile interface for seamless access.
Bug Fixes and Optimizations
* Photo Selection Crash: Fixed crash issues during photo selection for post creation.
* Authentication Improvements: Resolved login error messages and Apple ID authentication problems.
* Data Enhancements: Improved place data fetching and refined feed generation processes for smoother performance.\
\
**Nov. 19, 2024**\
*Added:*
Enhanced User and Admin Functionality
* Elasticsearch Autocomplete: Added for places and follower feeds to streamline searches.
* Drafts Feature: Enabled post and place drafts for simplified content management.
* New Features: Introduced comments for places and country search functionality on the login page.
* Activity Management: Implemented pages for creating, editing, and viewing activities, along with library creation tools.
* Map Widget: Launched with place search and editing capabilities for enhanced user interaction.
Admin Panel Updates
* Access Restrictions: Limited access for non-marketer and non-admin roles to ensure role-based permissions.
* Notification Widget: Added to streamline updates and communications.
* Improved Workflows: Enhanced activity creation processes for better efficiency.
* Redesigned Start Page: Updated for improved usability and navigation.
# December '24
**Dec. 5, 2024**\
*Added:*\
Enhancements & New Features
* Enhanced Analytics: Registration event tracking added for improved user behavior insights.
* Updated Map Icons: Improved for better clarity and visual appeal.
* Horizontal Photo Support: Enhanced functionality for a better image display experience.
* Subscriptions & Followers Screens: Upgraded with search functionality for easier navigation.
Fixes & Updates
* Place Screen Update: Revamped editing tools, comments, and donation features for a more seamless experience.
* Feed Crash Fix: Resolved duplicate ID issues during feed loading.
Referral System & User Insights
* Introduced a referral system for partner companies.
* Enhanced the user model with additional fields for more detailed data insights.
* Added descriptions to review details for improved clarity.\
\
Fixes & Performance Improvements
* Fixed issues with missing pins and tags on the map.
* Upgraded ReportSummary to include a reason counter for reports.
* Optimized callback worker functionality for smoother and more efficient operations.
**Dec. 25, 2024**\
*Added:*\
Admin Panel Updates
* Added referral code generation and partner statistics tracking.
* Introduced a "Partners" page for managing partner referrals and viewing statistics.
* Enabled transaction viewing within user and place cards.
* Updated the ReferralStatistics and ReferralTable components.
* Enhanced the operations table with filters, sorting, and Excel export functionality for partner referral links.
Backend Enhancements
* Implemented photo validation for Places/Posts and email field checks during sign-in.
* Added complaint reasons for reporting fake or irrelevant content.
* Enabled test email login functionality for reviewers.
* Introduced case-insensitive search capabilities.
* Fixed issues with new Impressions on public profiles and improved video handling.\
Interface and Usability Enhancements
* Redesigned the search screen and updated headers for feed and map screens.
* Enabled profile navigation via avatar tap.
* Improved search functionality for places and users with enhanced filters.
Video Improvements
* Enhanced video display in galleries and during uploads.
* Resolved carousel issues, video resets, and playback errors.
Optimization and Bug Fixes
* Fixed issues with photo/avatar uploads, credit transfers, and long BIO entries.
* Addressed filter reset errors, subscription bugs, and notification toggling issues.
* Improved gallery loading speed and optimized vertical video cropping.
# February '25
**Feb. 5, 2025**\
*Added:*
Check-in-Free Recommendations
* Add recommendations without a check-in, highlighting places visited before joining daGama.
* Unverified recommendations earn 5 Credits and maintain the first discovery right.
* Verification occurs through auto-check-ins or community validation.
Full-Screen Media Viewing
* Enjoy immersive full-screen mode for all media content.
* View photos in greater detail to capture the atmosphere of each place.
Enhanced Pre-Moderation System
* Improved content filtering to maintain high-quality and reliable recommendations.
* UI refinements for a smoother and more intuitive user experience.
# March '25
**Mar. 14, 2025**\
*Added:*
Explore Without Registration
* Enjoy community recommendations without signing up.
* Registration is only required to share opinions or contribute content.
Stay Updated with Notifications
* New notifications center to track updates and missed activities.
* See all interactions in one place for a seamless experience.
Design Improvements & Bug Fixes
* Enhanced UI for better navigation and improved aesthetics.
* Fixed minor bugs for a smoother and more reliable experience.
# April '25
### **User app**
**April 23, 2025**
**Wallet registration added**
* Android — MetaMask, Trust Wallet
* iOS — MetaMask
**Updated recommendation flow**
* Detailed map view
* Auto-suggestions for nearby places
**New UI tooltips and helper screens**
**General performance improvements**
# July '25
**User app**
**July 31, 2025**
**NFT Minting for Places**
* Users can now mint discovered places as ERC-721 NFTs with geodata and AI visuals.
**DAO Voting**
* Votes for places are now on-chain — transparent, immutable, and community-driven.
# September '25
**September 25, 2025**
**$DGMA Token Listing**
* $DGMA listed on [Gate.io](http://gate.io/) and MEXC, enabling broader market access and liquidity.
* The listing marks an important step in expanding the daGama ecosystem and supporting protocol-level incentives.
**Check $DGMA token in CoinMarketCap**
# December '25
**User app**
**December 29, 2025**
**Proof of Presence (PoP) Protocol**
* Introduction of the Proof of Presence protocol — a decentralized layer for verifying real-world physical presence.
* PoP enables cryptographically verifiable location-based events without exposing raw geolocation data.
**Infrastructure for Real-World Verification**
* Supports DePIN, events, commerce, and on-chain access use cases.
* Designed with privacy-by-design and decentralized validation at its core.
# Updates
[**Twitter**](https://x.com/dagama_world)
 [**Telegram**](https://t.me/da_ga_ma)
 [**Discord**](https://discord.gg/dagamaworld)
 [**Medium**](https://medium.com/@daGama_World)
 [**Youtube**](https://www.youtube.com/@dagama_world/featured)
 [**Crunchbase**](https://www.crunchbase.com/organization/dagama-1fdb)
Our community managers and moderators can answer your questions, provide guidance, and share important updates.