Our goal at Skill Tracker is to redefine what makes a good doctor by evaluating not just knowledge, but also clinical skills and attitudes.

We have developed an AI-assisted electronic portfolio system to address the challenge of assessing these essential qualities.

The system gathers data on a student's academic achievements, clinical experiences, and personal characteristics.

This data is then analyzed using machine learning algorithms to identify the factors that contribute to a successful medical career.

Our system provides personalized, weekly feedback to students, highlighting their strengths and weaknesses.

This approach functions as a personal medical advisor, guiding students to improve their studies and clinical practice.

By identifying weaknesses early on, students have the opportunity to address them before they become significant obstacles to their success.

The targeted support provided by our system helps students overcome their weaknesses and excel in their studies and clinical practice.

We believe that this approach has the potential to revolutionize medical education, making it more efficient, effective, and responsive to the needs of students and patients alike.

Ultimately, our aim is to improve patient outcomes and contribute to a more effective healthcare system.