🔍 File Analyzer - AI-Powered Document Analysis

A modern web application that allows users to upload documents and get intelligent analysis using AI. Built with Flask, Python, and Ollama for local AI processing.

![File Analyzer]!

✨ Features

• 📄 Multi-format Support: Handle TXT, PDF, DOCX, XLSX, and CSV files
• 🤖 AI-Powered Analysis: Uses Ollama for intelligent document processing
• 🔒 Privacy-First: All processing done locally, files deleted after analysis
• ⚡ Fast Processing: Quick analysis with immediate results
• 🎨 Modern UI: Clean, responsive interface with beautiful styling
• 📱 Mobile Friendly: Works seamlessly on desktop and mobile devices

🚀 Quick Start

Prerequisites

• Python 3.7 or higher
• Ollama installed and running

Installation

1. Clone the repository

   git clone https://github.com/evaibhav/Ai-File-Analyzer.git
   cd Ai-File-Analyzer

2. Create virtual environment

   python -m venv venv
   
   # On Windows
   venv\Scripts\activate
   
   # On macOS/Linux
   source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

4. Install and setup Ollama

   • Download from ollama.ai
   • Install for your operating system
   • Pull a model (e.g., llama2):

     ollama pull llama2

5. Run the application

   # Start Ollama service (in one terminal)
   ollama serve
   
   # Start the Flask app (in another terminal)
   python app.py

6. Open your browser Navigate to http://localhost:5000

📁 Project Structure

file-analyzer/
├── app.py                 # Main Flask application
├── requirements.txt       # Python dependencies
├── README.md             # Project documentation
├── uploads/              # Temporary file storage
├── templates/
│   └── index.html        # Main HTML template
└── static/
    └── style.css         # CSS styling

🔧 Usage

1. Upload a File: Choose from supported formats (TXT, PDF, DOCX, XLSX, CSV)
2. Enter Analysis Prompt: Describe what you want to analyze
3. Get Results: Receive AI-powered analysis instantly

Example Prompts

• "Summarize the main points of this document"
• "Extract key insights and recommendations"
• "Analyze the sentiment and tone"
• "Find important data patterns and trends"
• "What are the key takeaways?"
• "Identify action items and next steps"

🛠️ Technical Details

Built With

• Backend: Flask (Python web framework)
• AI Processing: Ollama (Local AI model runner)
• Frontend: HTML5, CSS3, JavaScript
• File Processing: PyPDF2, python-docx, pandas, openpyxl

Supported File Formats

Format	Extension	Description
Text	.txt	Plain text files
PDF	.pdf	Portable Document Format
Word	.docx	Microsoft Word documents
Excel	.xlsx	Microsoft Excel spreadsheets
CSV	.csv	Comma-separated values

API Endpoints

• GET / - Main application page
• POST /upload - File upload and analysis endpoint

🔒 Privacy & Security

• Local Processing: All AI processing happens locally using Ollama
• No Data Storage: Files are deleted immediately after analysis
• Secure Upload: File validation and secure filename handling
• Size Limits: 16MB maximum file size for security

🎨 Screenshots

Main Interface

Analysis Results

📊 Performance

• File Processing: < 2 seconds for most documents
• AI Analysis: 5-30 seconds depending on content length and model
• Memory Usage: Minimal, files processed in streaming fashion
• Supported Models: Any Ollama-compatible model

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📋 To-Do

• Add support for more file formats (RTF, ODT)
• Implement batch file processing
• Add export functionality for analysis results
• Create API endpoints for programmatic access
• Add user authentication and session management
• Implement analysis history and favorites
• Add support for multiple AI models
• Create Docker containerization

🐛 Known Issues

• Large PDF files (>10MB) may take longer to process
• Complex Excel files with multiple sheets only process the first sheet
• Some PDF files with complex formatting may have text extraction issues

🔧 Troubleshooting

Common Issues

1. Ollama Connection Error

# Make sure Ollama is running
ollama serve

# Check if model is available
ollama list

2. File Upload Issues

• Check file size (max 16MB)
• Verify file format is supported
• Ensure file is not corrupted

3. Module Import Errors

# Ensure virtual environment is activated
source venv/bin/activate  # or venv\Scripts\activate on Windows

# Reinstall dependencies
pip install -r requirements.txt

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Ollama for providing local AI capabilities
• Flask for the web framework
• PyPDF2 for PDF processing
• python-docx for Word document handling

📞 Support

If you encounter any issues or have questions:

1. Check the Issues page.
2. Create a new issue with detailed description.
3. Join our Discussion forum.

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Made with ❤️ by VAIBHAV TRIPATHI