galihru/facemind
application uses computer vision and machine learning to analyze mental health based on facial expressions. The app includes login system, and real-time mental health analysis through facial landmarks, using OpenCV, Mediapipe, and PyQt5. This Application Delegation Paper Competition for
This application helps monitor mental well-being by analyzing facial expressions in real-time. It takes live video input of a person's face and outputs an analysis of their mental state, leveraging computer vision to interpret facial landmarks. This tool is designed for individuals interested in personal mental health tracking or for preliminary screening in wellness contexts.
Use this if you want a real-time, visual assessment of mental health indicators based on facial expressions.
Not ideal if you need a diagnostic tool for clinical mental health conditions or require analysis beyond facial cues.
Stars
33
Forks
7
Language
TeX
License
Apache-2.0
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/galihru/facemind"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
mrousavy/react-native-fast-tflite
🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration
alexlib/pyptv
Python GUI for the OpenPTV library, `liboptv`
yo-WASSUP/Good-GYM
AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.
VisoMasterFusion/VisoMaster-Fusion
Powerful & Easy-to-Use Video Face Swapping and Editing Software
lanxiuyun/lazyeat
Lazyeat（懒人手势）｜手势隔空控制，比划就行！Lazyeat is a touch-free controller for use while eating! Don't want...