Virtual Lawyer AI Chatbot

A virtual legal assistant powered by the Gemini API, designed to provide users with legal advice based on their queries. This chatbot features a Flask backend, a JavaScript-based frontend, and is deployed on Vercel for seamless performance.

🚀 Features

• AI-Powered Legal Assistance – Provides responses based on user legal queries.
• Flask Backend – Handles API requests and processes responses.
• Interactive Frontend – Built with JavaScript, HTML, and CSS.
• Text-to-Speech (TTS) – Converts responses into speech for accessibility.
• Vercel Deployment – Ensures fast and scalable performance.

🛠️ Technologies Used

• Backend: Flask, Gemini API
• Frontend: JavaScript, HTML, CSS
• Deployment: Vercel
• Additional: Text-to-Speech (TTS)

📌 Setup & Installation

1. Clone the repository:

   git clone https://github.com/your-username/ai-agent.git
   cd ai-agent

2. Create a virtual environment and activate it:

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

3. Install dependencies:

   pip install -r requirements.txt

4. Set up your API key for the Gemini AI (if required):

   export GEMINI_API_KEY=your_api_key_here  # On Windows: set GEMINI_API_KEY=your_api_key_here

5. Run the Flask server:

   python app.py

6. Open the frontend in a browser or serve it using a local server.

🚀 Deployment

• The backend is hosted on Vercel, ensuring a smooth and reliable user experience.
• To deploy updates, push changes to the GitHub repository connected to Vercel.

📌 Future Improvements

• Enhance legal knowledge base.
• Implement user authentication for personalized responses.
• Add multilingual support.
• Improve UI/UX for better usability.

📄 License

This project is open-source and available under the MIT License.

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Feel free to contribute or suggest improvements! 🚀