Next.jsTypeScriptSupabaseClerk AuthChrome API
TrustMesh Sentinel
A dual-layered verification platform consisting of a Next.js web portal and a Chrome Extension for real-time automated web scanning to detect AI-generated imagery.
Architecture & AI Detection
Integrated the Sightengine API to detect AI-generated imagery and provide detailed reasoning for synthetic content. Built a custom certification engine that generates unique hashes for images, storing them securely in Supabase to create permanent "Digital Birth Certificates."
The frontend operates as an Automated Browser Sentinel. I engineered a JavaScript-based content script utilizing DOM manipulation and setInterval polling to automatically scan and badge images on any active webpage.
Technical Highlights
- 🛡️ Security: Implemented enterprise-grade auth using Clerk and managed secure deployment via Vercel, protecting sensitive credentials with strict Git practices.
- 📈 Scalability: Successfully transitioned the project from localhost to a live production environment.
- ✨ User Experience: Designed a high-end "Dark Mode" UI with glass-morphism and CSS animations to create a professional security-tool aesthetic.