🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their respective classes. Also includes a sample Flask backend!

Official repository of team NP Devs for Prototype 2.0 held at IIITA

Detect the mood using image processing and play music accordingly.

An authentication system based on face verification and mood recognition

A Python application that detects user emotions via AI and recommends personalized songs based on emotional state.

Emotion Based Music Player application for iOS 🎵

Det.App is an image recognition android app, the prefix Det. comes from detective rank in police officer’s title. Users can use it to detect objects in their surrounding as well as use its mood detection functionality to check their current mood from their lips movement. But before that, users are required to create an account and log into it.

An augmented reality app that suggests music based on your scanned's face mood.

MoodLint is a Visual Studio Code extension for Mood based debugging that helps by integrating real-time mood detection with future mood prediction and generation of how you would look in predicted mood

An iOS application using a Machine Learning Algorithm for classifying music files on Spotify into different human moods in order to recommend new music or any associated to-do list tasks to the user

A mac-based song analyzer application built to classify and play songs based on your mood.

🌈 Local LLM chat with conversation branching, mood-reactive UI, and time travel. Run GPT-OSS 20B locally with chain-of-thought reasoning.

MuseAgent: A modular multi-agent music intelligence platform that ingests tracks, extracts spectral features, generates embeddings, tags mood/genre/instrumentation, delivers explainable recommendations with visualizations, exports branded PDF reports, and includes optional enrichment and AI-powered music generation.

Open-source music mood analysis API. The free, local alternative to proprietary music intelligence services. Analyze audio for mood, tempo, energy, and key. no API keys, no cloud.

Mood-Based UI is a dynamic user interface project that adapts based on the user's mood, utilizing machine learning to detect emotions and adjust UI elements like colors, themes, and layouts in real-time

A project for animal detection using Haar Cascade and YOLO, mood analysis from audio with a custom model, and movement tracking via BFS and DFS. Includes datasets, scripts, and models for implementation.

Mood based music recommendation system powered by AI and data analysis

Official repo of team NP Devs for Hack36 4.0

Takes live input through your camera, recognizes emotions & displays your mood.