MukhtarAI
// 03. projects

Selected Work

Practical AI, full-stack, and language-focused projects built to solve real problems.

Sentiment-AppFeatured

Sentiment-App

An AI-powered Streamlit app that predicts emotions in text using pre-trained Logistic Regression and Naive Bayes models. It uses NLP and machine learning to classify text into six emotions: sadness, anger, love, surprise, fear, and joy.

PythonMachine LearningNLPStreamlit
LiveSource
Weather & News Multi-Agent SystemFeatured

Weather & News Multi-Agent System

A multi-agent AI system that researches live weather and news information based on a user's location query. It uses LangGraph, LangChain, Mistral AI, and Tavily to route queries to specialized weather and news agents and combine their results.

PythonLangGraphLangChainMistral AITavily
Source
MovieMind AIFeatured

MovieMind AI

An AI-powered movie information extraction system that uses Mistral AI and LangChain to extract structured details such as movie title, overview, genre, release information, cast, and ratings from movie-related text through an interactive Streamlit interface.

PythonGenerative AILangChainMistral AIStreamlit
LiveSource