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daGama

daGama

daGama is a Real World Locations (RWL) platform that integrates blockchain and artificial intelligence (AI) to create a system for authentic, community-driven recommendations. The project aims to restore trust in user-generated content by using algorithmic verification to combat issues like fake reviews and inflated ratings, while financially rewarding users for their contributions through a "Post & Earn" model. The platform is powered by the network and has been audited by . [3] [1]

Overview

daGama was developed to address issues prevalent on traditional review platforms, such as fake ratings, deceptive search engine optimization, and the dominance of advertising, which can obscure genuine, high-quality businesses. The platform's objective is to function as a decentralized alternative where recommendations for dining, travel, and local services are based on authentic user experiences. It seeks to create a self-sustaining economy around the creation and consumption of verifiable, real-world information. The core of the project is a "Post & Earn" model that incentivizes users with the platform's native cryptocurrency, $DGMA, for contributing authentic content like reviews, photos, and location data. This user-generated content populates a dynamic map, with content quality and authenticity managed by an AI-powered algorithm and a community-driven validation system. This model is designed to allow businesses to gain visibility based on service quality rather than marketing expenditure. [1] [7] [8]

Products

  • daGama App: A mobile application available on Android and iOS that acts as the primary interface for map exploration, content posting, and reward participation.
  • Business Panel: A management interface for business clients to oversee their presence, interact with users, and administer promotional activities.
  • POS Terminal: A physical point-of-sale device integrated with the platform’s payment and loyalty systems, enabling cryptocurrency payments and reward management.
  • Questboard: A task-based engagement feature designed to encourage user participation, reportedly supporting a large active user base.

Gama Protocol: The underlying protocol layer that enables third-party companies to integrate daGama’s system for customer feedback verification. [3] [11] [10] [9] [5]

Ecosystem

The daGama ecosystem is composed of several interconnected technological components that work together to power the platform and ensure content integrity. [1]

A key component is AI Vasco, a proprietary AI-driven recommendation algorithm. It is designed to interpret user intent and provide personalized, context-sensitive content, such as suggesting a quiet cafe for reading or a lively venue for a night out. [6] [5]

To maintain authenticity, the platform employs a Machine Learning Anti-Fraud System (MLAFS). This system automatically flags suspicious content and is designed to work in conjunction with a user trust score and a voting system. The allows the community to participate in the final validation of recommendations, providing a layer of human oversight. [2] [6]

The ecosystem also includes a Live NFT Minter on the network, which enables users to convert their discoveries or posts into unique digital assets. These NFTs can function as membership cards, granting holders access to exclusive content, token raffles, and other platform perks. [5] [1] The POS Terminal for businesses extends the ecosystem into the physical world, integrating real-world merchants into daGama's payment and loyalty network. [4]

Use Cases

  • For Users:
    • Discovering authentic restaurants, attractions, and experiences through a curated, AI-powered feed.
    • Earning $DGMA tokens by posting genuine reviews, photos, and travel plans.
    • Redeeming earned tokens for real-world goods and services at partner merchants.
    • unique discoveries or favorite locations as on the .
    • Participating in governance by voting on the validity and quality of recommendations. [6] [9]
  • For Businesses:
    • Promoting services to an engaged audience seeking authentic experiences. [4]
    • Receiving verified, fraud-free feedback directly from customers. [1]
    • Utilizing the business panel and POS terminal to manage loyalty programs and special offers. [5]
    • Leveraging the platform for marketing based on genuine service quality rather than advertising budgets. [4]

Tokenomics

DGMA functions as the native utility token of the daGama ecosystem and is issued with a fixed supply model. The token has a maximum and total supply of 700 million units, with a circulating supply of approximately 61.26 million DGMA. Market data indicates an active secondary market, with DGMA traded on . The token is intended to support ecosystem-level activities and participation within the daGama platform. [13] [1]

Allocation

  • Preseed: 3%
  • Seed: 4%
  • Private: 14%
  • Strategic: 6%
  • Growth Round: 4.3%
  • Community Airdrop: 1%
  • Team: 10%
  • Advisors: 2%
  • Ecosystem: 24.8%
  • Marketing: 8.1%
  • Liquidity: 13.5%
  • Staking Pool: 3.5%
  • Reserves: 5.8% [14]

Token Utilities

  • Rewards: Used to reward users for creating high-quality content and participating in quests through the "Post & Earn" system.
  • Payments: Functions as the medium of exchange for in-app payments, including purchasing goods and services from partner merchants.
  • Loyalty & Staking: Integrated into the platform's loyalty program, with staking options to earn rewards and increase user influence.
  • Exclusive Access: Required for accessing premium features, exclusive content, special airdrops, and NFT-based memberships. [2] [6]

Governance

Governance on the daGama platform is intended to be handled through a . $DGMA token holders can participate in the platform's governance, with the primary mechanism being a -based voting system to validate or challenge user-generated recommendations. This system is a core component of the MLAFS and is designed to decentralize content moderation, placing it in the hands of the community to ensure the authenticity of the map. [5] [6]

Confirmed Partnerships and Backers

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References (14 sources)

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