🤖 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 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

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

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

Chrome plugin that tracks your mood #mentalhealth #psychology

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

Official repo of team NP Devs for Hack36 4.0

Healthcare + CV project realized for HackGT 9 hackathon that provides mental health support based on a user's current mood/facial expression captured via a picture or manual inputs.

Here we Build a Facial Gesture Controlled Car games , Mood Detection using Facial LandMarking

The dataset is Fer 2013 and can be viewed in Kaggle. We give an image as an input and get an output of the emotion and corresponding songs via an audio. The given audio files are for the happy and angry emotions. These files can also be created for all the remaining five emotions as well, as is clear in the code.

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