JusticeMitra ⚖️

Overview

JusticeMitra is an AI-powered legal assistant designed to help women in India understand their legal rights and protections. Using a Retrieval-Augmented Generation (RAG) approach, the system processes legal documents and provides accurate, context-aware responses to user queries.

Features

• 📖 Legal Query Resolution – Get detailed responses based on Indian women's rights laws.
• 🔍 Intelligent Search – Uses FAISS for efficient document retrieval.
• 🧠 AI-Powered Responses – Utilizes ChatGroq for generating legal answers.
• 📂 PDF Document Processing – Parses and indexes legal PDFs for reference.
• 🌐 User-Friendly Web App – Built with Streamlit for an intuitive interface.
• 📜 Emergency Contacts – Displays helpline numbers for immediate assistance.
• 📌 Search History Sidebar – Allows users to revisit previous queries.

How It Works

1. Upload and Index Legal Documents – JusticeMitra processes women's rights-related PDFs and builds a searchable FAISS index.
2. User Query Input – Users type their legal questions in the web app.
3. Document Retrieval – The system fetches relevant legal text from the indexed documents.
4. AI Response Generation – ChatGroq processes the retrieved context and provides a well-structured response.
5. Display Results – The app presents the response along with emergency legal contacts.

Built With

• Languages: Python
• Frameworks: Streamlit, LangChain, FAISS
• AI Models: HuggingFace Embeddings, ChatGroq
• Cloud Services: Google Cloud / AWS (Optional)
• APIs: Groq API
• Databases/Storage: Local Storage, Google Drive / AWS S3 (Optional)
• Tools: Git, VS Code

Installation & Setup

1. Clone the Repository:

   git clone https://github.com/nanmodi/JusticeMitra.git
   cd JusticeMitra

2. Create a Virtual Environment (Optional but Recommended):

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

3. Install Dependencies:

   pip install -r requirements.txt

4. Set Up Environment Variables:

   • Create a .env file in the project root and add:

   GROQ_API_KEY=your_groq_api_key_here

5. Run the Application:

   streamlit run app.py

Usage

1. Open the JusticeMitra web app.
2. Enter your legal query in the text box.
3. The AI fetches relevant legal information and provides a response.
4. View emergency legal contacts for further assistance.
5. Access previous searches from the sidebar.

Challenges Faced

• Ensuring accurate legal information retrieval.
• Handling large PDF documents efficiently.
• Optimizing response relevance using RAG.
• Improving user experience with a modern UI.

Future Improvements

• 📌 Multilingual Support for wider accessibility.
• 📊 Legal Case Summaries using advanced NLP.
• 🔗 Integration with Legal Experts for personalized guidance.
• ☁️ Cloud-Based Storage for real-time document updates.

License

This project is licensed under the MIT License.

Contact

For questions or collaborations, reach out via GitHub Issues.