Tracenet AI

AI Powered Smart Recovery Network for Lost & Found Items..!!

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TraceNet AI Geo-Intelligent Lost & Found Recovery Platform

Inspiration

The idea for TraceNet AI came from a real experience when I lost my AirPods during a college event. Finding lost items in crowded places is difficult, and most traditional lost-and-found systems are unorganized and unreliable. This inspired me to build an AI-powered platform that can intelligently help users recover lost items using smart matching and live location tracking.

What It Does

TraceNet AI is an AI-powered lost-and-found platform that uses:

  • Image similarity
  • Text similarity
  • Geo-location proximity
  • Time correlation

to intelligently match lost and found items nearby.

The platform also includes:

  • AI fraud detection
  • TrustScore verification
  • Live map radius tracking
  • Recovery heatmaps
  • Secure recovery coordination

to make the recovery process safer and more reliable.

How I Built It

I built the project using: Next.js React Tailwind CSS Node.js Express.js MongoDB

I also integrated AI-based matching, fraud detection logic, and live map tracking systems.

The matching system works using:

MatchScore = ImageSimilarity + TextSimilarity + LocationProximity + TimeCorrelation

Challenges I Faced

Some major challenges included:

  • Detecting fake claims and spam reports
  • Building accurate AI-based matching
  • Managing real-time map tracking efficiently
  • Creating a secure and trustworthy recovery system

What I Learned

Through this project, I learned:

  • Full-stack development
  • AI-assisted matching systems
  • Fraud detection techniques
  • Geo-location integration
  • Real-world problem solving using AI

Impact

TraceNet AI aims to make lost-item recovery faster, smarter, and safer by combining AI, geo-intelligence, and secure community verification into one intelligent recovery platform.

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