VerifyPro

Secure Document Verification Platform

VerifyPro is a comprehensive document verification platform that provides secure, AI-powered verification services for important documents. The platform combines advanced OCR technology, signature verification, OTP detection, and intelligent chatbot assistance to deliver a complete document verification solution.

🌟 Features

• 🔒 Secure Document Verification: End-to-end encrypted document processing with advanced security protocols
• ⚡ Fast Processing: Quick document analysis and verification using optimized algorithms
• 🔍 OCR Technology: Extract information from Indian government documents (Aadhaar, PAN cards)
• ✍️ Signature Verification: Advanced signature matching and verification system
• 📱 OTP Detection: Automated OTP extraction from images
• 🤖 AI-Powered Chatbot: Intelligent assistant for document-related queries using RAG (Retrieval-Augmented Generation)
• 🌐 Quantum Visualization: Interactive quantum-inspired data visualization
• 📊 Dashboard: User-friendly dashboard for managing verifications
• 🔐 Authentication: Secure user authentication and authorization

🏗️ Architecture

VerifyPro follows a microservices architecture with three main components:

Frontend (Next.js)

• Location: client/
• Technology: Next.js 15 with React 19, TypeScript, Tailwind CSS
• Features:
  • Responsive web application
  • User authentication (login/register)
  • Document upload interface
  • Signature cropping and verification UI
  • Interactive dashboard
  • Quantum data visualization
  • Real-time chat interface

Backend Services

1. Express Service

• Location: server/express_service/
• Technology: Node.js, Express.js, MongoDB
• Purpose: Main API server handling user management, authentication, and business logic
• Features:
  • User registration and authentication (JWT)
  • Document upload management
  • Database operations
  • File handling and storage

2. FastAPI Service

• Location: server/fastapi_service/
• Technology: Python, FastAPI, OpenCV, PyTorch
• Purpose: AI/ML processing service
• Features:
  • OCR for document text extraction
  • Signature verification using computer vision
  • OTP detection from images
  • AI chatbot with document understanding

3. Embeddings Service

• Location: server/embeddings_service/
• Technology: Python, LangChain, Supabase
• Purpose: Document vectorization and similarity search
• Features:
  • PDF processing and text extraction
  • Vector embeddings generation
  • Supabase vector database integration
  • RAG system for chatbot knowledge base

🔧 Key Technologies

Frontend

• Next.js 15: React framework with App Router
• React 19: Latest React with concurrent features
• TypeScript: Type-safe development
• Tailwind CSS: Utility-first styling
• Lucide React: Icon library
• D3.js: Data visualization
• React Image Crop: Image cropping functionality

Backend

• Express.js: Web application framework
• FastAPI: High-performance Python API framework
• MongoDB: NoSQL database with Mongoose ODM
• Supabase: PostgreSQL database with vector extensions
• JWT: JSON Web Tokens for authentication
• Multer: File upload handling

AI/ML

• OpenCV: Computer vision library
• PyTorch: Deep learning framework
• LangChain: LLM application framework
• IBM Watson: AI services integration
• AWS Bedrock: Foundational AI models