🦅 TradeHawk — AI-Powered Market Intelligence Platform

Autonomous AI agent that scrapes Amazon India, analyzes market trends using LLaMA AI, and delivers actionable business intelligence on a React dashboard.

🚀 Live Demo

• Frontend: https://trade-hawk.vercel.app
• GitHub: https://github.com/Prateek022/TradeHawk

🎯 What It Does

TradeHawk is an autonomous market intelligence platform for Indian e-commerce sellers and traders. Enter any product keyword — TradeHawk scrapes Amazon India in real time, processes the data through an AI pipeline, and delivers:

• 📊 Live price comparison charts
• 🤖 AI-generated market summary and insights
• 💰 Best deals ranked by price vs rating
• 🔍 Market opportunity analysis
• ⏰ Autonomous 24-hour re-scraping via scheduler

🛠 Tech Stack

Layer	Technology
Scraping	Playwright, BeautifulSoup, Scrapy
Backend	Python, FastAPI, SQLAlchemy, SQLite
AI	Groq API (LLaMA 3.1-8b-instant)
Frontend	React.js, Recharts, Vite
Automation	APScheduler (24hr autonomous pipeline)
Deployment	GitHub, Vercel

⚙️ How It Works

1. User enters a product keyword on the React dashboard
2. FastAPI triggers concurrent scrapers via ThreadPoolExecutor
3. Playwright launches real Chromium browser → scrapes Amazon India
4. BeautifulSoup parses HTML → extracts name, price, discount, rating
5. Scrapy pipeline processes and stores data in SQLite
6. Groq LLaMA AI analyzes data → generates market intelligence
7. React dashboard displays results with interactive charts
8. APScheduler autonomously re-scrapes top keywords every 24 hours

🚀 Local Setup

# Clone repo
git clone https://github.com/Prateek022/TradeHawk.git
cd TradeHawk

# Backend setup
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
python -m playwright install chromium

# Add environment variables
# Create .env file and add:
# GROQ_API_KEY=your_groq_api_key_here

# Start backend
python -m uvicorn backend.main:app --reload

# Frontend setup (new terminal)
cd frontend
npm install
npm run dev

📁 Project Structure

tradehawk/
├── backend/
│   ├── scraper/
│   │   ├── amazon.py
│   │   ├── flipkart.py
│   │   └── pipeline.py
│   ├── database/
│   │   └── models.py
│   ├── ai/
│   │   └── analyst.py
│   ├── scheduler.py
│   └── main.py
├── frontend/
│   └── src/
│       └── App.jsx
├── requirements.txt
└── README.md

👨‍💻 Built By

Prateek Soni — MCA Final Year | Python Developer | Full Stack

• Email: prateek.ps988@gmail.com
• LinkedIn: linkedin.com/in/prateek0210
• GitHub: github.com/Prateek022