E Learning Feedback using Facial Expression Recognition

Our app E-learning feedback system through facial expression recognition is based on frontend and backend. Our frontend developed with flutter just contain the view having login, register,degree and courses selection and feedback screen(feedback generated with AI trained models). Backe

Project Title

E Learning Feedback using Facial Expression Recognition

Project Area of Specialization

Computer Science

Project Summary

Our app E-learning feedback system through facial expression recognition is based on frontend and backend.

Our frontend developed with flutter just contain the view having login, register,degree and courses selection and feedback screen(feedback generated with AI trained models).

Backend  is based on two phases training phase and testing phase. During training, the system received a grayscale images of faces from dataset with their specific expression label and learns a set of weights for the network. This step takes input an image of grayscale with a face of specific expression. Then normalization is applied to image. So then normalized images are used to train the Convolutional Neural Network. To ensure and take advantage from training that cannot affected on it performance we divide training into two part one is training and other one is validation, in validation we choose the final best dataset of weights rest of a set of trainings to performed with samples presented in different orders and conditions. Output of the training step is that achieve the impressive outcomes with the training data. During test, the system received a grayscale image of a face from test dataset, and output is predicted which system learn in training phase and give the result. It gives output of single expression which they learned in training phase. All the training phase will be used as a backend in the application and the front view will be used as the testing of that training phase. Image from the frontend will be send towards the backend in order to test that image and give a specific result just like the model has learnt.

Project Objectives

• Moving towards the top tiers of the innovation with respect to down seizing the carnage of time and access to undeniable truth, we will provide facial feedback.

• Getting accurate feedback results using facial expression recognition

Project Implementation Method

We will pitch all this idea through a mobile application. Initially our application will be just known to us and the developers so that they can test the application whether it is working in a right manner or not. We will connect our application with the artificial intelligence model and with the firebase. This will have done all through the api’s. Once all the requirement and testing is done then we will deploy our application to the master level that anybody in the world can use this application.

Benefits of the Project

Facial expression recognition feedback system will help the user to give feedback using the access of the camera. If someone needs to give the feedback using the face he just needs to use this application. The objective of this application is to reduce the typing work, to retrieve the desired objective quickly, converting the typing process to the automatic facial process that is user have to just has to show the face, the feedback will be automatically generated according to that face expression.

Technical Details of Final Deliverable

The person’s facial expression is a language of expression. It is believed that the facial expression is controlled by brain. Measuring emotions are difficult in real time. Asking or judging a participant what she is feeling during an interview or during a survey may not be effective and some cannot express their feeling on that time. So we worked on that to solve that problem. First we trained Facial Expression images dataset in python then test it by giving it some parameters. We build mobile app for Facial Expression detection. We connect Front-end of app and Back-end (where we trained our dataset) using API’s. Using mobile app user can easily express their emotion to give proper feedback according to requirement of organization.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com