School lost-and-found software
AI Lost & Found
Explore Om Batavia’s school lost-and-found software: AI item matching, QR-based workflows, ownership checks, and administrative review for school communities.
Built by Om Batavia, a student at The Riverside School, Ahmedabad.
Problem
School lost-and-found desks rely on manual item matching, vague descriptions, and repeated conversations with owners. A digital workflow needs to connect lost and found records within the right school while giving administrators a way to review possible matches.
Solution
Built a school-focused platform with authentication, QR-based workflows, and school-scoped item matching. The lost-and-found workflow combines matching with ownership checks and administrative review, supporting the steps between identifying a possible item and reviewing a claim.
Context
The application uses React, Python, FastAPI, SQLite, and JWT authentication. Ownership checks and rate limiting are part of the implementation. This project brings together AI-assisted item matching, backend development, and a web interface for a practical school-community problem.
Role
Builder — full-stack application development and the item-matching workflow. Om Batavia worked on the software connecting school records, user authentication, and administrative review.
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