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 Arbitrum network and has been audited by CertiK. [3] [1]
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]
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]
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 DAO (Decentralized Autonomous Organization) voting system. The DAO 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 Arbitrum 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]
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 centralized exchanges. The token is intended to support ecosystem-level activities and participation within the daGama platform. [13] [1]
Governance on the daGama platform is intended to be handled through a Decentralized Autonomous Organization (DAO). $DGMA token holders can participate in the platform's governance, with the primary mechanism being a DAO-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]