An NLP-based chatbot that understands and responds to customer queries instantly. Tech: Python, TensorFlow, Dialogflow, Node.js.
The AI Chatbot for Customer Support is an intelligent conversational agent designed to assist businesses in handling customer queries 24/7. Using Natural Language Processing (NLP) and machine learning, it can understand user intent, provide instant responses, and escalate complex queries to human agents when necessary.
This system helps reduce response time, increase customer satisfaction, and lower the workload on support teams. It can be integrated with websites, mobile apps, and messaging platforms like WhatsApp, Telegram, or Facebook Messenger.
Tech Stack
Languages: Python (backend AI/NLP logic), Node.js (server & integration)
NLP/ML: TensorFlow, Dialogflow, spaCy, NLTK
Database: MongoDB or MySQL for storing conversations and logs
Frontend Integration: HTML/CSS/JS for embedding chatbot widget
Deployment: Flask/Node.js API, Docker container optional
Features
Natural Language Understanding: Recognizes user intent and extracts relevant information from queries.
Multi-Channel Support: Can be deployed on websites, mobile apps, or messaging platforms.
Instant Responses: Provides predefined answers or dynamically generates responses using AI.
Escalation: Routes complex or ambiguous queries to human agents.
Learning & Improvement: Continuously improves responses using machine learning from historical conversations.
Analytics Dashboard: Tracks frequently asked questions, chatbot performance, and customer satisfaction metrics.
