Fynd
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About Fynd
Reinventing Campus Lost & Found with AI
Traditional lost-and-found desks and noisy social media groups fail students every day. Fynd bridges the gap through multimodal visual search, automated match scoring, and private ownership verification.
< 500ms
Image Match Speed
100%
Privacy Protection
4 Simple Steps
Verification Steps
Free Always
Cost for Students
Our Purpose
Built to solve the chaos of lost belongings
Every semester, thousands of water bottles, laptops, earbuds, IDs, and notebooks are misplaced across lecture halls, labs, and cafeterias. Most end up forgotten in cardboard boxes or buried under unrelated posts in informal message boards.
Fynd replaces unstructured clutter with intelligent discovery. When an item is reported found or lost, our platform extracts visual tokens and metadata to find corresponding counterparts automatically.
Structured Discovery: Categorized by item type, location, date, and color.
Private Exchange: No spam, no scammers claiming items that aren't theirs.
Campus Collaboration: Simple reporting experience for both students and staff.
Fynd Match Engine
Real-Time 1. Photo & Metadata CaptureClient side
Images compressed to WebP/AVIF and tokenized for feature embeddings.
2. Similarity Vector ScoringCos-Sim > 0.85
Cross-computes image vectors, category, temporal proximity, and location tags.
3. Encrypted Claim HandshakeZero-Exposure
Finder reviews proprietary proof details; contact channel unlocked on approval.
Core Capabilities
Why Campus Communities Trust Fynd
A balanced blend of cutting-edge AI and human-verified privacy safeguards.
AI-Powered Visual Matching
Advanced neural embeddings analyze photos and attributes, scoring visual and semantic similarities to connect lost and found items in seconds.
Zero-Exposure Privacy
Personal contact numbers and private emails are never exposed publicly. All ownership claims require verified proof before contact exchange.
Anti-Fraud Claim Verification
Claimants must provide non-public verifying identifiers (e.g. serial numbers, engravings, hidden marks) verified directly by finders.
Instant Campus Alerts
Automated real-time notifications alert reporters when a high-confidence match is detected across campus premises.
Community-First Mission
Designed specifically for university campuses, schools, and institutional environments to cultivate trust and mutual support.
Modern Open Tech Stack
Built with Next.js 16, NestJS, Neon PostgreSQL, Cloudinary, Tailwind CSS, and vector scoring algorithms for maximum speed, security, and reliability.
Campus Infrastructure
Built for Campus Facilities & Security Desks
Seamless collaboration between student reports, departmental lost-and-found boxes, and campus security staff.
Campus Hub Coordination
Centralizes reports across university libraries, residence halls, athletic facilities, and dining centers into one synced ledger.
Official Verification Logs
Staff and security officers can audit claim proofs and resolution timestamps to eliminate lost-property disputes.
Automated Lifecycle Tracking
Track items from initial report to verified handover, with scheduled archiving for unclaimed property at end-of-term.
Creator & Engineer
Engineering & Architecture
Crafted by Toufiq Hasan Kiron
Fynd was architected and developed by Toufiq Hasan Kiron as a modern, privacy-first campus solution. By replacing chaotic bulletin boards and informal chat groups with multimodal AI similarity scoring, Fynd helps university communities reclaim lost belongings quickly and safely.
Ready to find or report an item?
Take a clear photo, add quick location details, and let AI scan the entire campus catalog in seconds.