E-Commerce Chat Assistant
Multi-intent conversational AI for intelligent product discovery and customer support
Domain / Function
Conversational AI • NLP • Deep Learning
Project Overview
Designed and developed a Generative AI–powered E-Commerce Chat Assistant that understands natural language queries and responds intelligently to product searches, FAQs, and casual conversations.
The system uses semantic embeddings, vector similarity search, and large language models to generate accurate, context-aware responses via an interactive Streamlit interface.
Streamlit Chat Interface 1
Streamlit Chat Interface 2
System architecture
Key Features
- Multi-intent conversational handling
- Semantic intent detection using embeddings
- Vector-based FAQ retrieval with ChromaDB
- Natural language product search
- LLM-powered response generation
- Real-time Streamlit chat interface
Project Details
This project demonstrates hands-on experience with Deep Learning, NLP pipelines, vector databases, and modern GenAI system design. It follows a modular and scalable architecture suitable for real-world e-commerce platforms.