Build a chatbot using deep learning techniques. The chatbot will be trained on the dataset which contains categories (intents), pattern and responses. We use a special recurrent neural network (LSTM) to classify which category the user’s message belongs to and then we will give a random response from the list of responses.

Simple Google Gemini ChatBot for Nodejs

An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.

This is a simple chatbot implemented in Python using natural language processing techniques. The chatbot is capable of engaging in conversations with users, responding to greetings, and generating appropriate responses based on user input.

Some mini projects in python.

Contextual Chatbot in PyTorch

🤖 Terminal-based AI Chat Application powered by Groq, enabling seamless conversational interactions through a simple Python script. Easily configurable with Groq API, supporting multiple language models and customizable chat parameters.