Project case study
Chatbot AI using Java
A natural language processing implementation focused on intent recognition, response generation and the engineering foundations of conversational AI.
What was the project?
This project developed an intelligent chatbot that could interpret natural language queries and return contextually relevant responses. The work combined Java application development with practical NLP and machine learning concepts.
Problem and approach
The core challenge was turning varied user questions into reliable intents. The solution used a layered NLP design with custom intent classification and response generation, supported by Spring Boot, Maven and JUnit.
Delivered outcomes
- Implemented intent classification and response generation.
- Added JUnit coverage for core chatbot logic.
- Integrated Java NLP components into a conversational flow.
- Completed as a group project at Manipal Institute of Technology.
Skills demonstrated
Natural language processing, Java enterprise development, API design, machine learning implementation, testing and team leadership.