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About the project

Campus Lost & Found

Campus Lost & Found is a centralized platform designed to make it easier for students to report, search for, and recover lost belongings on campus.

Students can report lost or found items by providing details such as the item name, description, category, location, date, and image. Other students can then search and filter the available reports to find potential matches.

The project also explores AI-assisted image matching to help identify visually similar lost and found items. Instead of relying only on manual searching through WhatsApp groups or asking around campus, the system can suggest potential matches based on uploaded images.

Key Features

  • Report lost and found items
  • Upload images of items
  • Search and filter lost/found reports
  • View item details
  • Submit claims for items
  • AI-assisted image similarity matching
  • REST APIs for frontend-backend communication
  • Structured database for users, items, and claims

Problem We Are Solving

Students often lose belongings such as ID cards, wallets, chargers, earbuds, calculators, notebooks, and other personal items on campus. Information about these items is usually scattered across WhatsApp groups, class groups, security offices, and other channels.

Campus Lost & Found brings this information into one platform and uses image similarity to make finding potential matches easier.

Team QuadX

  • Darshan P — Frontend Development
  • Nambi Prasanna B. — Backend Development
  • Sachin Kannappan — AI / Image Matching
  • Abhinav Baru — Database

Built with

next.jsreacttypescripttailwindcsspythonfastapisqlalchemypydanticpostgresqlsqlitesupabasegithubgeminiopenaiclaudegemmaollama

AI tools

Coded withClaude CodeGrok BuildBoltLovableGemini 3.8 FlashGemini 2.5 ProGemini 3.5 Flash LiteGemma 4 26B A4BClaude Sonnet 5.5Claude Opus 5.5GPT-5.6 TerraGrok 4.20 Multi-Agent

Prize Categories Entered

  • Deepmind Google

    Best Use of Gemma 4

    Submitted