An AI-powered tool that simplifies complex privacy policies. By providing a URL or uploading a PDF of a privacy policy, users receive a concise, tabular summary, enabling them to understand critical information quickly and easily.

🚀 Features

• URL & PDF Input: Accepts privacy policies via URL or file upload.
• AI-Powered Summarization: Processes lengthy and dense policies using advanced AI algorithms.
• Tabular Output: Presents key points (e.g., data collection, purpose, and criticality) in a user-friendly table.
• Enhanced Transparency: Helps users make informed decisions regarding their data privacy.

🛠️ Tech Stack

• Frontend: SvelteKit with TailwindCSS for a modern, responsive user interface.
• Backend: Python (FastAPI) for processing and AI integration.
• AI Integration: Utilizes Google Gemini's large language models (LLMs) for natural language processing.

📦 Installation

• Clone the repository:

git clone https://github.com/decipher3114/polisharp.git
cd polisharp

• Set up the backend:
  • Setup Virtual Environment

  cd backend
  python3 -m venv venv
  

  • Activate Virtual Environment:
    • For Linux:

    source venv/bin/activate
    

    • For Windows:

    venv/scripts/activate
    

  • Install Requirements

  pip install -r requirements.txt
  

• Setup Gemini API Key (Critical: One must be satisfied)
  • Create a new file with the name .env in backend dir.
  • Paste the following GEMINI_API_KEY=<your_api_key>.
    OR
  • Put the api key in the Gemini API Key field.
• Set up the frontend:

cd ../frontend
npm install

🚀 Usage

• Open TWO terminal sessions and change directory to polisharp.
• Session 1: Start the backend (available at http://127.0.0.1:8000):

cd backend
uvicorn main:app

• Session 2: Start the frontend:

cd frontend
npm run dev

Access the app in your browser at http://localhost:5173.

📜 License

This project is licensed under the MIT License.