AI-Powered Customer Support Chatbot
PythonTensorFlowNLPREST APIsReactNode.js
Overview
An intelligent customer support chatbot for e-commerce platforms, achieving 95% accuracy in intent recognition using TensorFlow NLP. It reduces customer support response time by 40% through context-aware conversation management and entity extraction.
Challenges
- Training an intent classification model with high accuracy on a limited labelled dataset
- Managing conversation context across multi-turn interactions without a stateful session backend
- Integrating the Python ML model cleanly with a Node.js/React frontend
Solutions
- Used transfer learning on a pre-trained TensorFlow model, fine-tuned on domain-specific e-commerce intents
- Implemented a lightweight context window stored in Redis, tracking the last 5 turns per session
- Exposed the Python model as a REST microservice, consumed by the Node.js API layer
Languages & Tools
Python
TensorFlow
NLP
REST APIs
React
Node.js
Key Stats
95%
Intent recognition accuracy
40%
Reduction in support response time