A mental health prediction app using facial analysis.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for galihridhoutomo from gravatar.com galihridhoutomo
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: GALIH RIDHO UTOMO. Ana Maulida
  • Requires: Python >=3.6
Classifiers
Report project as malware

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for galihridhoutomo from gravatar.com galihridhoutomo
Meta

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: GALIH RIDHO UTOMO. Ana Maulida
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

This version

0.6

0.5

0.4

0.3

0.2

0.1

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-0.6.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-0.6-py3-none-any.whl (12.4 kB view details)

Uploaded Python 3

File details

Details for the file mental_health_app-0.6.tar.gz.

File metadata

  • Download URL: mental_health_app-0.6.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-0.6.tar.gz
Algorithm Hash digest
SHA256 255891ad653dffffd1c4591231bd3a5ed8733fa189db5f500a75813054ca0850
MD5 aa5d4e956bad1bf1ba7882c9ea02067e
BLAKE2b-256 231021a83d3b5999b87e63e6461913ec35fba80858498f633b6c96f656fd3828

See more details on using hashes here.

File details

Details for the file mental_health_app-0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for mental_health_app-0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e86279ff129fb0a0720ff41f1aa495eb2fccc0ef295b7abe5ddb7a458e0d83d3
MD5 c2536a48c3e3e5acf4701adeef7bc48c
BLAKE2b-256 c39a94dff346027a3c3fdad08cc7688ff1c7e09ee6339a7da59baad97721b1d2

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