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.

A simple chatbot built using python(flask), html, css, javascript and gemini api for lecture purposes.

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.

🤖 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.

ROSE 🤖 – A simple rule-based personal chatbot that greets users, opens websites, performs Google searches, checks the time, and provides weather/news updates. Built with Python. 🐍🌐

Contextual Chatbot in PyTorch

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A simple but above then normal chat bot which can auto correct spelling mistakes.

A project of Kotlin Developer track on Hyperskill

A simple web-based chatbot application built with Flask, HTML, CSS, and JavaScript. It can generate secure passwords, respond to greetings, provide dates, and log unknown messages.

A beginner-friendly chatbot built with Python and Tkinter that uses a JSON file for predefined responses. It provides a graphical chat interface, supports fuzzy matching for user inputs, and can be extended easily.