Skip to main content

A mental health prediction app using facial analysis.

Project description

Mental Health App

logo facemind

PyPI version PyPI downloads

This 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.

Requirements

Before running the app, make sure you have the following Python packages installed:

  • opencv-python
  • numpy
  • mediapipe
  • selenium
  • PyQt5
  • pandas

You can install missing dependencies by running the following command:

docker pull ghcr.io/galihru/mental_health_app:latest

Author by

  1. Ana Maulida
  2. GALIH RIDHO UTOMO

Delegation for competition paper

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mental_health_app-0.5.tar.gz (11.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mental_health_app-0.5-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file mental_health_app-0.5.tar.gz.

File metadata

  • Download URL: mental_health_app-0.5.tar.gz
  • Upload date:
  • Size: 11.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for mental_health_app-0.5.tar.gz
Algorithm Hash digest
SHA256 539287de56d3d52ddd347df41166f2ed326421abff945040371617bf705b0716
MD5 73f543bf9b2675d0088a60f6afb90b8e
BLAKE2b-256 055cccdf05c9cbb17ce96f5ff6f16bf351c7327de0564bc68efac2c76f46ddd2

See more details on using hashes here.

File details

Details for the file mental_health_app-0.5-py3-none-any.whl.

File metadata

File hashes

Hashes for mental_health_app-0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9860abf4124093c9039fbe5e658b6e24509f723b06ccfb46be9539b195d73ce0
MD5 4b21fd4c8d3133298037b49ec28423e5
BLAKE2b-256 e3feb452a42eaa7bf73465772ab2a9761cc310b60df0b829b2771a7f6d663471

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page