Revolutionising Online Shopping with AI: The E-commerce Shopping Assistant
Try the app :- Shopping Assistant
Imagine walking into a store, describing what you need, and instantly receiving personalised recommendations. What if you could achieve the same seamless shopping experience online?
With the power of AI and automation, we’ve built an E-commerce Shopping Assistant — a tool that helps users find products effortlessly by:
✔ Understanding user queries through natural language processing (NLP).
✔ Recognising products from images for a visual search experience.
✔ Fetching real-time product details from multiple sources.
✔ Comparing prices and specifications for better decision-making.
This AI-powered assistant leverages LLMs, web scraping, and image recognition to simplify and enhance the shopping experience.
Want to explore the code? Check out the project on GitHub:
AI Shopping Assistant GitHub Repository
High-Level Architecture
User Interaction Layer (Streamlit UI) — Captures text/image input.
Processing Layer (AGNO AI Agents) — Analyses queries and extracts structured data.
Search Layer (Tavily, SerpAPI, Firecrawl) — Fetches relevant product data.
Presentation Layer — Returns structured product recommendations.
The modular approach ensures flexibility, allowing for easy integration of additional AI models and search tools.
The E-commerce Shopping Assistant is a step toward the future of AI-driven shopping. By combining LLMs, image recognition, and real-time search tools, it creates a seamless and efficient shopping experience.