Project Info

Foodlink

Devpost

This project did not submit a demo video on Devpost.

Inspiration

: Wastage from school dining halls, restaurants, and the need to turn surplus waste into food donations for students in need.

What it does

: Connects surplus food from dining halls to nearby students in real-time using AI, geo-mapping, and image verification.

How we built it

: Used React for frontend, Node.js for backend, and integrated Fetch.ai, Claude 4, and Letta for AI-powered food routing and image analysis.

Challenges we ran into

: integrating the backend with the frontend and syncing real-time food data.

Accomplishments we're proud of

: Successfully built a working prototype that connects food sources to students instantly.

What we learned

: How to build AI-driven apps, Learned how to integrate LLMs with real-time applications, and the power of AI in solving social issues.

What's next

: Launch on more campuses, partner with food vendors, and expand to community shelters and nonprofits.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • FlaskIn code
  • HTMLIn code
  • JavaScriptIn code
  • Next.jsIn code
  • PythonIn code
  • ReactIn code
  • SQLIn code
  • SupabaseIn code
  • Tailwind CSSIn code
  • TypeScriptIn code
  • VercelClaimed

11 of 12 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

237 KB

Source files

61

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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