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Computer Vision program measuring tired of students through probability of various facial expressions and blinks per minute at NTU Hackathon

C++ 39.36% Python 4.84% C 2.68% Objective-C 0.07% Kotlin 0.26% Dart 12.53% Swift 2.63% HTML 3.47% CMake 34.16%

mlda_hackathon's Introduction

MLDA_Hackathon

This is the source code for our video analytics system for lecturers

Contents of repository

  1. emotion_detection_model - contains the python source code for the model we used to detect confusion in student's faces and upload data to firebase
  2. frontend_dashboard - contains the flutter source code that interfaces to firebase cloud and displays analytics data

Technologies used

Tensorflow, open-cv, flutter

Demo

https://www.youtube.com/watch?v=5WBEDc6tECY

mlda_hackathon's People

Contributors

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