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README.md

# LAVA - Legal Analysis Video Assistant

LAVA (Legal Analysis Video Assistant) is an advanced AI-powered tool designed to analyze video and audio content for legal purposes. It transcribes audio, processes video frames, and evaluates them against legal standards (e.g., U.S. federal laws, California state laws) to provide insights for both prosecution and defense. The tool leverages NLP, sentiment analysis, and AI models to simulate human-like legal reasoning.

## Features
- **Transcription**: Converts speech to text using `SpeechRecognition`.
- **Video Processing**: Analyzes video frames for relevant legal issues using `opencv-python`.
- **Legal Analysis**: Uses NLP and AI models from `transformers` and `torch` to analyze text data and identify potential legal violations.
- **Text-to-Speech**: Provides spoken feedback using `pyttsx3`.
- **Human-like Reasoning**: Mimics a judge, lawyer, and defense attorney using advanced AI models.
  
## System Requirements
- **Operating System**: Windows 11
- **IDE**: Visual Studio Code (VSC)
- **Shells**: Bash, Windows PowerShell 7

## Getting Started

### Prerequisites
Before setting up the project, ensure you have the following installed:
- **Python 3.8+**: You can download Python from [here](https://www.python.org/downloads/).
- **pip**: Python's package installer, usually included with Python.
- **Virtual Environment**: (Recommended) Set up a virtual environment for isolated package management.
  
### Installation

1. **Clone the Repository**:
   ```bash
   git clone https://github.com/Puhfee/LAVA.git
   cd LAVA

2. Set Up Virtual Environment (optional but recommended):

   python -m venv venv
   source venv/Scripts/activate  # On Windows

3. Install Dependencies: Run the following command to install all required packages:

   pip install -r requirements.txt

4. Configure Environment Variables: You will need an .env file for storing your API keys and other configurations. Create a .env file in the project root directory with the following structure:

   OPENAI_API_KEY=your_openai_api_key
   

Dependencies

The project requires the following Python libraries, which are listed in the requirements.txt file:

• nltk==3.9.1: For natural language processing tasks.
• opencv-python==4.10.0.84: For video processing.
• numpy==1.26.4: For numerical operations.
• SpeechRecognition==3.10.4: For transcribing speech to text.
• pyttsx3==2.97: For text-to-speech functionality.
• transformers==4.44.2: For loading AI models.
• torch==2.4.1: PyTorch for model inference.
• tqdm==4.66.5: For progress monitoring.
• beautifulsoup4==4.12.3: For HTML parsing.
• click==8.1.7: For building command-line interfaces.
• colorama==0.4.6: For colored terminal output.

Usage

After setting up the environment, run the main script to start the LAVA assistant:

python main.py

LAVA will begin listening for commands and analyzing video and audio input based on your legal data.

Contributing

We welcome contributions to improve the project. Please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-branch.
3. Commit your changes: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature-branch.
5. Submit a pull request.

License

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

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This README provides a clear overview of the project, including system requirements, setup instructions, dependencies, usage, and contribution guidelines. Let me know if you need further refinements or additions!