Web-Based Career Recommendation Based on MBTI Personality using Machine Learning

1st Julia.P
Department of Computer Science and Engineering

United Institute of Engineering and Technology

Coimbatore,India pushparajp446@gmail.com 4thDinesh kuamr A

Department of Artificial Intelligenec and Dta Science

Sri Ranganathar Institute of Engineering and Technology, Coimbatore,India.

Dineshkumara@sriet.ac.in

2nd Sanmugavelu.M

Department of Computer Science and Engineering United Institute of Engineering and Technology

Coimbatore,India sanmugavel256 @gmail.com

3rd Tanusya.G
Department of Computer Science and Engineering United Institute of Engineering and Technology

Coimbatore,India tanusya0301@gmail.com

Abstract--This project develops a web-based MBTI personality detection system using a 60-question survey and a neural network model trained on synthetic data, achieving about 78% accuracy. The platform offers separate portals for students and staff—students receive instant MBTI results with career and learning recommendations, while staff access dashboards for student profiling and personality analytics. Security features include password hashing, RBAC, session control, and encrypted storage. The system supports personalized learning, improved student guidance, and institutional insights, with future enhancements such as trend tracking, mobile app development, and LMS integration.Keywords--MBTI, Career Recommendation, Machine Learning, Neural Networks, Web Application, Personality Analysis