PolyU IHERD and COMP launch PolyInterview to support interview preparation

The PolyInterview, an AI-powered interview practice platform developed by IHERD and the Department of Computing, is now open for student trial use.

Mastering job interviews requires rigorous practice for organising personal experiences into clear and coherent responses and communicating effectively, yet students often lack these opportunities. To bridge this gap, PolyInterview offers a realistic practice environment with AI digital humans. Driven by multiple AI agents, our system customizes questions based on target job descriptions and personal resumes. After the interview, students receive detailed feedback on their language, facial expressions, and body movements, evaluated through established frameworks like KSA and STAR. 

With AI-powered features, PolyInterview allows the students to:

1. Practise job interview questions tailored to your target job and your own background;
2. Engage in a natural interview practice with a human-like AI interviewer;
   
3. Receive structured and comprehensive feedback to improve your content, delivery, and overall interview presence;
   

4. Review previous interview sessions, revisit detailed reports, and track your growth over time, and continuously improve your interview skills.
   

Please note that, as the platform is currently in the trial stage, our system can only support a limited number of users to experience the full interview process at the same time. If the system reaches its limit, it will automatically ask you to book your interview sessions in advance.

1. The platform can be accessed via PolyUWLAN at https://polyinterview.comp.polyu.edu.hk/.
2. Students may make a booking through the built-in booking function on the platform. Each booking slot is 1 hour.
3. Students without a booking may still be admitted if spare capacity is available, but priority will be given to students with confirmed bookings.  
   
   

If you have any questions, suggestions, or technical issues, please feel free to contact us at zyuanwen@polyu.edu.hk.