Project title

Automated Analysis and Personality Prediction Based on Questionnaires Using Deep Learning

Submitted to:

  • Ms. Divya Acharya (Ph.D Scholar Bennett University)

Submitted By:

  1. Atal Manuja (Thapar Institue Of Engineering and technology)
  2. Amala Rani Sebastian (Saintgits College Of Engineering)
  3. M.Yasmeen Banu (Mahendra Engineering College)

Project Description

Personality prediction is an important application area of affective computing. The process of assessing the personality of users is proposed in this project using questionnaires answered by the user and classifying the personality according to MBTI traits. This project proposed a framework in which some questions are to be answered by the user. Every question has an option in the form of agree or disagree and then the model predicts the personality of the user from the 16 MBTI traits with a description of personality trait based on the questions answered. This project used deep learning approach. Recurrent Neural Network(RNN) along with Long Short-Term Memory units (LSTM) is used to develop this project. Accuracy of the proposed model achieved is 64.5 which could overcome the average accuracy of personality prediction classifier made while previously it was 55% using RNN. This model which makes use of Questionaries’ can be used as a feedback system in academics and organisation for improving the quality of life of students and employees.

Project Poster

Get Latest Notification about

Please ignore if you have already signed up.

Announcements, news and innovations!

From in your inbox.

By submitting this form, you are consenting to receive marketing emails from: Bennett University. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email.