I would like to express my deepest gratitude to my supervisor, Mr. Aditya Prashant Ardak, for being an exceptional mentor and the best adviser I could have ever asked for. His constant guidance, insightful advice, encouragement, and constructive criticism played a pivotal role in the successful completion of this project. The confidence he placed in me and his unwavering belief in my abilities were the primary sources of motivation throughout my internship journey.
A simple and interactive chatbot built using Natural Language Processing (NLP) to handle basic user queries. This project allows users to interact with the bot and receive responses based on predefined intents.
- Greeting Intents: Responds to users with friendly greetings like "Hi", "Hello", etc.
- Goodbye Intents: Says goodbye when users type "Bye" or "Goodbye".
- Customizable Intents: Easily add new intents by modifying the
intents.jsonfile. - Web Interface: A simple HTML-based interface to interact with the chatbot.
- Python: The backend for handling user input and processing.
- Flask: The web framework for serving the chatbot through a simple web interface.
- Natural Language Processing (NLP): To analyze and process user inputs.
- HTML/CSS: For the frontend user interface.
- Clone this repository to your local machine:
git clone https://github.com/Honey22205/Chatbot.git
This project involves the development of an AI-powered chatbot using Natural Language Processing (NLP) techniques to understand and respond to user queries. It features a user-friendly interface and is designed to engage users in meaningful conversations, making it applicable in various domains like customer service, education, and personal assistance. The chatbot is built to learn and adapt, improving its responses over time. With the ability to process and analyze user inputs, it enhances user engagement and accessibility. The project demonstrates the potential of AI in streamlining communication and improving user experiences.