AI-powered lost & found platform for schools and campuses
A full-stack lost & found platform for campuses. Students report lost and found items, and the system suggests matches using location, category, timing and Google Gemini AI. Admins review claims with AI-assisted photo comparison, manage users, and keep an audit trail. What’s included: AI item matching and search, photo scan that auto-fills item details, ID-card OCR, claim review with AI photo comparison and fraud-risk scoring, real-time anonymized chat between reporter and claimant, web push notifications, campus map with heat mapping and an indoor 3D map, barcode/QR scanner, predictive analytics for loss hotspots, a gamification system (points, levels, streaks, leaderboards, badges), announcements and support tickets, content moderation, and a data-retention and audit-log suite. Built with React, Node.js/Express, TypeScript, Prisma and PostgreSQL. Status: Built for a college campus and no longer in active use. It has no current users and no revenue. The code is school-specific in places (an institutional email domain and a Google Sheets student masterlist), so a buyer would configure those for their own institution. What you get: full source code, setup documentation, and 2 weeks of handover support. You will need your own accounts and keys for Gemini, SendGrid (email), PostgreSQL, and optionally Redis.
Next step: <p>White-label it for other schools and universities (replace the email domain and student masterlist with a configurable setup), offer it as a hosted SaaS with a subscription per institution, or adapt it for offices, airports, event venues and transit lost-property desks. Natural next steps: deploy the backend, add multi-tenant support so one install can serve several campuses, and wrap it in a mobile app.</p>
For sale
Asking price: $600 USD
What's included
Source code, All related design work
Full source code (React frontend, Node.js/Express backend, Prisma schema, background jobs and scheduled tasks) delivered by GitHub repository transfer after payment, setup documentation, and 2 weeks of handover support by email or chat. The sale does not include any real student data. Buyer provides their own Google Gemini, SendGrid and PostgreSQL accounts and keys (Redis is optional).
Reason for selling
I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Visitors: Pre-launch
Average Monthly Revenue: Pre-revenue
Average Monthly Downloads: Pre-launch / New project
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