Detecting Emotions of Student and Assessing the Performance by using Deep Learning

Abstract

In the present-day scenario, Assessment of educational skills independently is prominently required which can be done by the techniques of Deep Learning. The main objective of the project is to evaluate the performance of the student while coding using his facial expressions. This model initially captures the facial expressions of the student using a camera which is our data set. These inputs are fed into the deep learning classification algorithms to assess the behaviour of the student and then those outputs are fed into the machine learning algorithms to assess his performance. This project supports external evaluation in many of the educational institutions. This model summarizes the successful patterns of a student by avoiding the pitfalls of average student patterns to develop an innovative analysis tool and promotes to develop the best education.

An Automated Music Recommendation System Based on Listener Preferences

“…Similarly, Netflix does the recommendations based on the type of movie watched, language, cast, theme, or genre. Some online music streaming websites offer recommendations to meet the user's demand, for example, Spotify, Pandora, iTunes, etc [3].…”