This project is an AI-powered shopping assistant that provides product recommendations based on user preferences using LLMs (Large Language Models) and real-time web search tools.
- 🔍 Intelligent product recommendations using LLM DeepSeek-R1-Distill-LLaMA-70B.
- 🎯 Filters based on:
- Product type
- Color preference
- Specific features (e.g. waterproof, wireless)
- Budget range
- 🛒 Fetches results from trusted e-commerce sites like Amazon, Walmart, and Google Shopping.
- 🖼️ Clean and interactive Streamlit web UI.
- Python 3.10
- Streamlit – for frontend UI
- Phidata (phi) – for building LLM agents
- Groq – for high-performance inference
- Firecrawl – for real-time product search
- Dotenv – for environment variable management