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🤖 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!
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
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.
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.
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