Our AI/ML-powered application analyzes terms and conditions, licenses, and insurance documents to highlight potential 'red flags' that users might overlook before accepting or signing up for a service. The project also includes a custom LLM-powered summarization feature to provide concise insights into lengthy documents.

• 📄 Red Flag Detection – Identifies potentially concerning clauses in legal documents.
• 🤖 Custom LLM Summarization – Generates summaries of lengthy documents for quick understanding.
• 🔍 PDF Support – Upload and analyze PDF documents seamlessly.
• 📊 Custom Dataset – Trained on a dataset created from scratch for high accuracy.

Ensure you have Python 3.8+ installed on your system.

Clone the repository and install dependencies:

git clone https://github.com/Reyhan-Sam/GIT_Hack25.git
cd your-repo
python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`
pip install -r requirements.txt

Run the application:

python main.py

Upload a PDF document, and the system will analyze its contents for red flags and generate a summary.

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

• Thanks to our hackathon team Sanjith, Reyhan, Daniel, Natalie and Belle for their contributions!