BackTrack is a full-stack Lost & Found platform designed to simplify the process of reporting, tracking, and reclaiming lost items within an institution. The system provides dedicated Student and Admin portals, intelligent item matching, claim management workflows, and lifecycle tracking for unclaimed items.
The platform aims to reduce manual effort, improve recovery rates, and create a structured digital ecosystem for lost and found management.
Traditional lost and found systems often rely on manual records, social media posts, or physical notice boards, making it difficult to efficiently track, match, and recover lost belongings.
BackTrack addresses this challenge by providing a centralized platform where users can report lost and found items, while administrators can manage claims and item records through a structured workflow.
- Secure Student and Admin portals
- Role-based access control
- Lost item reporting system
- Found item reporting system
- Intelligent item matching using RapidFuzz
- Claim request and verification workflow
- Admin dashboard for item and claim management
- Image upload support using Multer
- Archival system for long-unclaimed items
- Resale module for items unclaimed beyond a defined period
- React.js
- Tailwind CSS
- Node.js
- Express.js
- SQLite
- RapidFuzz
- Multer
- Git & GitHub
- Users report lost or found items through dedicated forms.
- Item details are stored and managed within the platform.
- RapidFuzz-based matching identifies potential item matches.
- Users can submit claims for matching items.
- Administrators review and verify claims.
- Successfully verified items are returned to their owners.
- Long-unclaimed items are archived or moved to the resale module.
git clone https://github.com/sarvani-701/BackTrack.gitnpm installnpm run dev- Developed a full-stack digital Lost & Found platform with secure authentication and role-based access control.
- Implemented intelligent item matching using RapidFuzz to improve item recovery efficiency.
- Designed claim verification workflows to streamline communication between users and administrators.
- Built archival and resale modules to manage long-unclaimed items and improve system sustainability.
- Email and SMS notifications
- QR-code based item verification
- AI-powered image similarity matching
- Analytics dashboard for recovery statistics
- Multi-institution support
Developed as a full-stack solution for efficient Lost & Found management.