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An AI-powered shopping assistant that recommends top products based on user preferences like product type, color, features, and budget — using the DeepSeek LLM and Firecrawl search tools.

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Farhan-Feb/AI-agent-shopping-Deepseek

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🛍️ AI Shopping Recommendation Agent

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.


🧠 Features

  • 🔍 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.

⚙️ Tech Stack

  • 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

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An AI-powered shopping assistant that recommends top products based on user preferences like product type, color, features, and budget — using the DeepSeek LLM and Firecrawl search tools.

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