The Personality-Based Candidate Recommendation System leverages the Myers-Briggs Type Indicator (MBTI) to modernize recruitment by aligning candidates' personalities with job roles. Traditional hiring often overlooks personality-job fit, leading to mismatches and high turnover. This system introduces a dual-interface approach: a candidate-facing MBTI assessment platform and an HR dashboard for compatibility analysis. It replaces manual processes with a secure, scalable digital solution that reduces bias and enhances decision-making. Aimed at transforming recruitment in Pakistan, the system improves efficiency, workforce alignment, and engagement. Future enhancements may include cultural and team fit analytics for deeper organizational impact.
Tools: Python,Scikit-Learn,Streamlit,SQLite3
Department: Department of Business Studies
Project Poster
