ExeSecure AI - Educational Security System A comprehensive academic integrity monitoring and management system built with React, TypeScript, and Tailwind CSS.
Features Dashboard: Overview and real-time statistics Biometric Verification: Multi-layer identity verification (fingerprint, face recognition, signature) Academic Records: Certificate validation with OCR and blockchain verification Fraud Detection: AI-powered tampering detection Exam Hall Security: ESP32 Bluetooth scanning for mobile detection Analytics: Comprehensive reporting across institutions and fraud metrics Data Security: Aadhaar KYC and compliance management AI Assistant: Floating AI chatbot for support Tech Stack React 18 TypeScript Tailwind CSS v4 Vite Lucide React (icons) Sonner (toast notifications) Recharts (charts) Development Install dependencies: npm install Start development server: npm run dev Build for production: npm run build Deployment This project is configured for Vercel deployment:
Connect your repository to Vercel Vercel will automatically detect the configuration from vercel.json Deploy with the build command: npm run build Camera Functionality The biometric verification system includes live camera capture features:
Works in HTTPS environments or localhost Falls back to simulation mode if camera access is denied Supports fingerprint, face recognition, and signature capture Security Note This is an educational demonstration system. For production use:
Implement proper authentication and authorization Add backend API integration Ensure HTTPS deployment Follow data privacy regulations
Built With
- css3
- lucide
- react
- sonner
- tailwind
- typescript
- vite
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