🛡️ ClearTerms - AI Privacy Policy Agent

ClearTerms is a full-stack Generative AI application that protects you from predatory legal agreements. It uses multi-model AI agents (Llama, Qwen, Mixtral via Hugging Face) to scan Privacy Policies and Terms of Service instantly, highlighting red flags and summarizing your rights in plain English.

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🚀 Why Choose ClearTerms?

In a digital world where "I Agree" is the biggest lie, ClearTerms stands as your personal legal defense.

• 🔍 Deep Legal Analysis, Not Just Keywords: unlike simple keyword CTRL+F tools, our AI agent understands context. It can distinguish between "we sell your data" and "we transfer data to service providers".
• 🤖 Multi-Model Failsafe Intelligence: Built with a robust fallback system. If one AI model is busy, ClearTerms automatically switches providers (Llama → Qwen → Mixtral), ensuring 100% uptime and reliability.
• ✨ Premium User Experience: Legal tools don't have to be boring. Enjoy a stunning, mobile-responsive Glassmorphism UI that makes reading contracts as easy as browsing social media.
• 🛡️ Privacy First: We analyze policies without storing your personal data. Your privacy is our priority while we check theirs.

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✨ Features

• AI Risk Detection: Instantly identifies "High Severity" risks like Data Selling, IP Ownership, and Forced Arbitration.
• Transparency Score: Assigns a simple 0-100 score to every policy.
• Smart Fallback System: Automatically rotates between Llama 3.3, Qwen 2.5, and Mixtral to guarantee results.
• Anti-Bot Scraping: Uses a hybrid scraper (Jina Reader + Headless Fallback) to read policies even from difficult sites like Zomato.
• Performance Optimized:
  • Fast Next.js rendering via App Router Server/Client Component splitting.
  • High-concurrency FastAPI backend that offloads blocking HTTP scrapes to background threads.
• Modern Tech Stack: Built with Next.js 14, FastAPI (Python), and Tailwind CSS, featuring a responsive, premium Glassmorphism UI.

🛠️ Tech Stack

• Frontend: Next.js 14, TypeScript, Tailwind CSS, Framer Motion, Lucide React.
• Backend: Python 3.9+, Hugging Face Hub, FastAPI (Serverless), Trafilatura.
• AI Infrastructure: Hugging Face Serverless Inference API (Official huggingface_hub SDK).
• Deployment: Vercel (Frontend + Python Serverless Functions).

📂 Project Structure

/
├── api/                # Python Serverless Functions (FastAPI entry)
├── backend/            # Core AI Logic & Agent Definitions
│   └── agent.py        # Hugging Face AI Agent & Multi-Model Config
├── frontend/           # Next.js Application
│   ├── app/            # App Router Pages
│   └── components/     # UI Components
├── requirements.txt    # Python Dependencies
└── vercel.json         # Vercel Build Config

⚡ Local Development

1. Clone the repo:

   git clone https://github.com/yourusername/clearterms.git

2. Install Python Backend:

   pip install -r requirements.txt

3. Install Frontend:

   cd frontend && npm install

4. Setup Keys: Create a .env file and add your HF_TOKEN.
5. Run Locally:
   • Backend: uvicorn api.index:app --reload
   • Frontend: npm run dev

☁️ Deployment

This project is optimized for Vercel.

1. Push to GitHub.
2. Import project in Vercel.
3. Go to the Settings > Environment Variables tab in your Vercel Dashboard.
4. Add HF_TOKEN in the Key field and your Hugging Face Access Token in the Value field.
5. Deploy! (If already deployed, click the three dots on the latest deployment and click Redeploy so it picks up the token).