An adaptable, open-source context-aware inference engine designed for privacy, control, and independence from proprietary models.

An extension of the previous 'Fitness-AI-Coach': a complete web application with real-time exercise recognition and counting. The exercise recognition model achieves 99% accuracy on the test set and 95% and 90% on two additional external datasets. || Give a star ⭐ to the repository if it was useful. Thank you! 😊

An example of a chatbot with a number-based menu that can be used as a starting point for a project.

End-to-end example of a multi-agent chatbot with search and authentication capabilities built using Chainlit and Workflow's LlamaIndex..

This repo plans an informative ChatBot for remote developers using hybrid search with multiple LLMs like ChatGPT. A vector-based database will enable efficient indexing. Development hasn't started.

𝓣𝓱𝓲𝓼 𝓲𝓼 𝓽𝓱𝓮 𝓒𝓱𝓪𝓽 𝓑𝓸𝓽

Uma mistura de chabot, apostas e almanaque esportivo.

Generate Medium Articles with AI

Infobot / Chatbot Web app deployed on Heroku, AWS

Chatbot da Reciclar.IA para identificação, classificação e destinação de resíduos em São Paulo/SP

Demo to showcase how different endpoints can be made to communicate on the chat bot interface

A full-stack AI-powered task management application with a cyberpunk aesthetic. Features intelligent task prioritization, smart categorization, natural language processing, and an AI chatbot (voice) assistant. Built with FastAPI, Next.js, PostgreSQL, and OpenAI. Includes sound effects, particle animations, and multiple cyberpunk themes.

Using Core and Advanced PHP for server-side scripting and application with LLM ( realtime Chatbot)

KlimaBot that tells the current weather forecast built with the open source conversational AI framework ( Rasa ).

A chatbot that is trained based on a set of instructions

MIPS Assembly Language Programming

A modern, responsive, and feature-rich chatbot application built with React and powered by the Google Gemini API. Engage in dynamic conversations, manage your chat history, and enjoy a seamless user experience.

MCalm detects people’s mood by using their facial expressions as well as by asking a few questions on a scale of 5, which would help people get a wider picture of their mood. Next comes the task to enlighten their mood by playing games , listening to jokes by bot and at last listening to soothing music.

Memory Keeper is a sophisticated, AI-powered storytelling companion designed to help families capture and preserve their stories. By combining a "Majestic Heritage" user interface with a robust NLP pipeline, it transforms casual conversations into a structured digital heirloom.