TraceBack

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Inspiration

Losing personal belongings often leads to stress, lack of accountability, and unresolved disputes. I wanted to build a system that brings transparency, structure, and trust to the lost-and-found process.

What it does

TraceBack is an AI-powered lost-and-found platform where users can report lost or found items. The system intelligently analyzes item details, timelines, and descriptions to suggest possible matches and guide users toward resolution.

How I built it

I built TraceBack as a full-stack web application using Firebase for authentication, database, and hosting. AI capabilities are integrated to assist with intelligent matching and analysis. The platform follows a privacy-first design and structured workflows.

Challenges I faced

Designing a simple yet trustworthy workflow was challenging. Balancing privacy, usability, and AI assistance required multiple iterations and refinements during development.

What I learned

This project strengthened my understanding of building real-world AI-assisted applications, structuring workflows, and preparing a product for real users.