07NLP
NLP CHATBOT
FEB 2026
An NLP chatbot using structured JSON data as its knowledge source, parsing conversational user queries and returning relevant context through a responsive web interface.
OVERVIEW
A conversational chatbot that uses NLP processing to understand user queries, match them against a structured JSON knowledge base, and return relevant responses through a clean web interface.
THE IDEA
Build a functional chatbot without relying on large language models — using NLP text processing and structured data as a lightweight, fully controllable knowledge source.
WORKFLOW
JSON
NLP
RESPONSE
KEY FEATURES
- Structured JSON-based knowledge store
- NLP text tokenization and intent matching
- Deterministic question-answering pipeline
- Conversational web UI with chat history
- Lightweight and responsive architecture
ENGINEERING APPROACH
User input is tokenized and similarity-matched against key patterns in the structured JSON knowledge base. Flask exposes the intent-matching logic as a REST endpoint, paired with a lightweight web frontend.