chore: updated README

README.md

@@ -1 +1,69 @@
-# stats_backend
+# Advanced Data Processing Framework
+
+## Overview
+
+The Advanced Data Processing Framework is a high-performance, scalable solution designed for efficient large-scale data operations. Built with Python, it leverages cutting-edge libraries and implements best practices for data manipulation, ensuring optimal performance and maintainability.
+
+## Key Features
+
+- **High-Performance Data Processing**: Utilizes optimized algorithms and parallel processing techniques for rapid data handling.
+- **Scalable Architecture**: Designed to seamlessly scale from local development to distributed cloud environments.
+- **Comprehensive Logging System**: Implements a sophisticated logging framework with configurable levels, outputs, and integration with monitoring tools.
+- **Modular Design**: Highly extensible architecture allowing easy integration of new data sources, processing algorithms, and output formats.
+- **Robust Error Handling**: Implements advanced error detection, reporting, and recovery mechanisms to ensure data integrity and processing continuity.
+- **Data Validation**: Incorporates schema validation and data quality checks at multiple stages of the processing pipeline.
+
+## Technical Stack
+
+- **Core Language**: Python 3.9+
+- **Data Processing**: Pandas, NumPy, Dask
+- **Parallel Processing**: multiprocessing, concurrent.futures
+- **Logging**: Custom framework built on top of Python's logging module
+- **Configuration Management**: YAML-based with environment variable overrides
+- **Testing**: pytest, hypothesis for property-based testing
+
+## Getting Started
+
+### Prerequisites
+
+- Python 3.9 or higher
+
+### Installation
+
+1. Install Python:
+   - Download and install Python 3.9+ from [python.org](https://www.python.org/downloads/)
+   - Ensure Python is added to your system PATH
+
+2. Clone the repository:
+   ```
+   git clone https://github.com/your-username/advanced-data-processing-framework.git
+   cd advanced-data-processing-framework
+   ```
+
+3. Create a virtual environment:
+   ```
+   python -m venv venv
+   ```
+
+4. Activate the virtual environment:
+   - On Windows:
+     ```
+     venv\Scripts\activate
+     ```
+   - On macOS and Linux:
+     ```
+     source venv/bin/activate
+     ```
+
+5. Install dependencies:
+   ```
+   pip install -r requirements.txt
+   ```
+
+You're now ready to use the Advanced Data Processing Framework!
+
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+