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README.md

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-# AI-Powered Excel Data Analysis App 
-
-A Streamlit application that automates Excel data processing, provides intelligent analysis using Google's Gemini AI, and offers interactive visualizations. Perfect for analyzing EOC (Emergency Operations Center) data with automated designation-to-cadre mapping.
-
-## Features 
-
-- **File Upload & Processing**
-  - Supports CSV, XLS, XLSX formats
-  - Automatic data cleaning
-  - Smart designation to cadre mapping
-  - Handles multi-level headers
-
-- **Interactive Data Preview**
-  - Column selection
-  - Global search functionality
-  - Advanced column-specific filters
-  - Customizable row display
-  - Hide/show index options
-
-- **AI-Powered Analysis**
-  - Intelligent data insights using Gemini AI
-  - Natural language queries
-  - Automated data summaries
-  - Pattern recognition
-  - Follow-up question suggestions
-
-- **Data Visualization**
-  - Dynamic charts and graphs
-  - Cadre distribution analysis
-  - District-wise visualizations
-  - Interactive dashboards
-  - Correlation analysis
-
-## Setup & Installation 
-
-1. **Clone the repository**
-   ```bash
-   git clone https://github.com/HussainM899/AI-Data-Processing-Analytics.git
-   cd AI-Data-Processing-Analytics
-   ```
-
-2. **Create and activate virtual environment**
-   ```bash
-   python -m venv venv
-   source venv/bin/activate  # For Linux/Mac
-   venv\Scripts\activate     # For Windows
-   ```
-
-3. **Install dependencies**
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-4. **Set up environment variables**
-   - Create a `.env` file in the root directory
-   - Add required credentials (see `.env.example`)
-
-## Required Environment Variables 
-   ```.env
-   env
-   GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
-   GOOGLE_API_KEY=your_api_key_here
-   ```
-
-## Usage 
-
-1. **Start the application**
-   ```bash
-   streamlit run app.py
-   ```
-
-2. **Upload Data**
-   - Use the file uploader to import your Excel/CSV file
-   - The app automatically processes and cleans the data
-   - Multi-level headers are automatically handled
-
-3. **Analyze Data**
-   - Use the navigation sidebar to switch between modes:
-     - Data Processing
-     - Analysis & Visualization
-     - About
-   - Ask questions in natural language
-   - View automated insights and visualizations
-
-4. **Export Results**
-   - Download processed data in Excel format
-   - Export updated designation mappings
-   - Save analysis reports
-
-## Project Structure 
-```
-AI-Data-Processing-Analytics/
-├── app.py # Main application file
-├── requirements.txt # Project dependencies
-├── .env.example # Example environment variables
-├── .gitignore # Git ignore rules
-└── README.md # Project documentation
-```
-
-
-## Dependencies 
-
-- `streamlit`: Web application framework
-- `pandas`: Data manipulation and analysis
-- `plotly`: Interactive visualizations
-- `google-generativeai`: Gemini AI integration
-- `langchain-google-genai`: LangChain integration
-- `python-dotenv`: Environment variable management
-- `openpyxl`: Excel file handling
-
-## Security Notes 
-
-- Never commit sensitive credentials
-- Use environment variables for API keys
-- Keep service account JSON file secure
-- Regularly rotate credentials
-- Avoid sharing API keys publicly
-
-## Features in Detail 
-
-### Data Processing
-- Automatic cleaning of data
-- Handling of missing values
-- Removal of duplicates
-- Smart string cleaning
-- Multi-level header handling
-
-### AI Analysis
-- District-wise analysis
-- Cadre distribution insights
-- Trend identification
-- Anomaly detection
-- Custom query handling
-
-### Visualization
-- Pie charts for distributions
-- Bar charts for comparisons
-- Histograms for numerical data
-- Correlation matrices
-- Interactive filters
-
-## Contributing 
-
-1. Fork the repository
-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
-
-## License 
-
-This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
-
-## Contact 
-
-Hussain - hussainmurtaza899@gmail.com
-Project Link: [https://github.com/HussainM899/AI-Data-Processing-Analytics](https://github.com/HussainM899/AI-Data-Processing-Analytics)
-
----
-Built using Streamlit and Gemini AI
+---
+title: AI Data Analysis App
+emoji: 📊
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+sdk_version: 1.28.0
+app_file: app.py
+pinned: false
+---