https://github.com/frostbyte012/apni_mitra

A Deep Learning Model that instantly recognizes your emotions and mental health using deep learning neural network libraries and suggests whether a person is annoyed, happy, neutral, depressed, and sad and suggests whether necessary steps should be taken to help them or not.
https://github.com/frostbyte012/apni_mitra

keras keras-tensorflow opencv-python python tensorflow tensorflow-examples tensorflow2

Last synced: 5 days ago
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A Deep Learning Model that instantly recognizes your emotions and mental health using deep learning neural network libraries and suggests whether a person is annoyed, happy, neutral, depressed, and sad and suggests whether necessary steps should be taken to help them or not.

• Host: GitHub
• URL: https://github.com/frostbyte012/apni_mitra
• Owner: frostbyte012
• License: mit
• Created: 2022-04-11T21:53:26.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-04-11T22:56:19.000Z (over 2 years ago)
• Last Synced: 2024-10-11T08:44:06.427Z (28 days ago)
• Topics: keras, keras-tensorflow, opencv-python, python, tensorflow, tensorflow-examples, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 39.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
APNI MITRA



Tech Used:



    


  
TensorFLow

  
Keras

  
OpenCV

  
Python

  





About:

A Deep Learning Model that instantly recognizes your emotions and mental health using deep learning neural network libraries and suggests whether a person is annoyed, happy, neutral, depressed, and sad and suggests whether necessary steps should be taken to help them or not.


Data Set Link - https://www.kaggle.com/jonathanoheix/face-expression-recognition-dataset