Project Details 💻

This project showcases a chatbot developed using a combination of Rasa, Flask, React, and Material-UI (MUI). It leverages Rasa’s Natural Language Understanding (NLU) model to classify user inputs and generate meaningful responses. Flask serves as the backend framework for managing API endpoints and handling user interactions, while React is used to build a responsive and interactive chat interface. Material-UI is integrated to provide the app with a polished and modern design. The chatbot can answer questions on various programming topics, including Python, Java, JavaScript, web frameworks, and databases — making it a valuable tool for learning and supporting software development. This project highlights my skills in full-stack development, from backend logic to frontend design.