GrantsScope - Grantee Discovery Using LLMs
Utilizing AI and data analytics, GrantsScope aims to democratize web3 funding by enhancing grantee visibility, offering personalized recommendations, and facilitating donor engagement with deserving projects.User Review
R1
Reviewed on 17 Oct 2024 02:54 PM
Demonstrate user-centric design and functionality
Show contribution to Web3 ecosystem growth
Present innovation in application use cases
Meet the general eligibility criteria for Gitcoin Grants, including open-source principles and ethical standards
The app meets the criteria set for the dApps Category in #GG22; User-centric design with meaningful contributions to understanding public goods funding in Web3 and innovation by leveraging public registries & transform the data using AI.
AI Review
A1
Reviewed on 14 Oct 2024 07:01 PM
Demonstrate user-centric design and functionality
GrantsScope leverages advanced LLMs, data analytics, and machine learning to provide personalized recommendations and self-discovery tools for donors, aiming to enhance user experience during PGF rounds.
Show contribution to Web3 ecosystem growth
GrantsScope contributes to the Web3 ecosystem by addressing information asymmetry and democratizing access to funding through AI-driven recommendations, aiding innovation and fair resource distribution in public goods funding.
Present innovation in application use cases
The project utilizes Large Language Models and clustering techniques to offer novel utilities such as personalized recommendations and conversational grantee discovery, which are innovative use cases in the Web3 funding landscape.
Meet the general eligibility criteria for Gitcoin Grants, including open-source principles and ethical standards
GrantsScope adheres to open-source principles, as evidenced by their active GitHub repository, and meets ethical standards by focusing on enhancing transparency and fairness in public goods funding.