Project: LLM & RAG Chatbot for Online Shopping Website

[coo1y]

Project Name

LLM & RAG Chatbot for Online Shopping Website

Description

RAG App Description:

This RAG app is an AI-powered chatbot designed to assist customers interested in health and nutrition. Acting like a shop clerk, the chatbot can help convince customers to make purchases, suggest personalized products based on their preferences, modify items in the shopping cart, process payments, and check the status of purchased products. The app uses a PostgreSQL database to manage all relevant data, including user profiles, shopping carts, and product information. Built using Python, Streamlit, OpenAI’s ChatGPT, and PostgreSQL, this app streamlines the customer experience and enhances engagement in online shopping.

Who can benefit?

• Health and nutrition e-commerce businesses looking to improve customer service and sales.
• Developers interested in AI-driven customer support and product recommendation systems.
• Any business aiming to enhance the shopping experience with intelligent, data-driven chatbots.

Technology & Languages

• [ ] JavaScript
• [ ] Java
• [ ] .NET
• [X] Python
• [ ] AI Studio
• [ ] AI Search
• [X] PostgreSQL
• [ ] Cosmos DB
• [ ] Azure SQL

Project Repository URL

https://github.com/coo1y/llm-shopping-online-chatbot

Deployed Endpoint URL

No response

Project Video

https://www.youtube.com/watch?v=G5F04WKVtmI

Team Members

coo1y (Ekapol Wongsuparatkul)

[multispark]

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