This repository is related to all about Machine Learning, Deep Learning, Computer Vision, NLP, and Research Projects

Example projects built with the Hume AI APIs

HCL-SATHYABAMA-MINI-PROJECT

HeartSense is an interactive LED ring that visually represents your heartbeats in real-time. The LED ring blinks to your heartbeats and displays the current BPM (beats per minute) using both numerical values and color-coded illumination.

SemEval2024-task 11: Bridging the Gap in Text-Based Emotion Detection

Data Augmentation for Emotion Detection in Small Imbalanced Text Data (ICMLA 2023)

Emotion Detection Using Python

Facial Expression Recognition on Video and Image (FERVI) is an open-source project created for the Data Science track for the program CUNY Tech Prep (CTP) in Cohort 8. 📷

Jupyter Notebook projects in Python coded during my Computer Vision and Pattern Recognition course at AIUB, focusing on core computer vision techniques.

Hello beautiful people, here is wideobuzdygan from kontentbuzdygan just for you. Let us know what you think! Greeting greetings

Depression Detect is a web app which enables clinicians to use sensing technologies with a focus on acoustic characteristics and facial landmarks to detect depression.

A system leveraging deep learning and computer vision algorithms like YOLO, MediaPipe, and Transformers assesses threats to women by identifying hotspot locations, analyzing nearby gender ratios, and detecting suspects' emotions. It generates an SOS to the nearest police station for immediate assistance.

😎 Awesome lists about Speech Emotion Recognition

Corpus with phrases retrieved from different digital sources containing diverse messages directed towards the LGBTQIA+ community.

🎭 This is the Backend of E.M.M.A.

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

Project Babble face tracking for Resonite

A CNN model for emotion detection using the FER2013 dataset with scripts and a Jupyter notebook for analysis.