NYP leads all polytechnics with the most awards since 2017!
Since the launch of the Lee Hsien Loong Interactive Digital Media (LHL-IDM) Awards, 11 of our students' projects have been recognised for their outstanding contributions.
These innovative projects exemplify excellence in leveraging technology to enhance citizens' lives, create opportunities, and strengthen communities.


Virage (2025)
- Rohan Senthil, Wong Fook Weng Matthew Oliver, Xavier Woon - Diploma in Cybersecurity & Digital Forensics
- Ezekkious Loo Tian En, Diploma in Business Financial Technology
- Jay Krish Vijendra, Diploma in Applied AI & Analytics
- Catolos Alvaro Dennise Jay San Juan, Diploma in Information Technology
This AI-powered scam simulation platform helps communities detect and resist phishing and vishing threats. With realistic voice simulations in local accents and languages, Virage has trained over 1,000 users. Its adaptive AI mimics real scam tactics by escalating urgency and providing convincing fake details. A partner of IMDA’s Digital for Life movement, Virage continues to enhance digital safety with regularly updated scenarios, including impersonation scams.
Read more

AwareNurse Wonderland (2024)
- Looi Jun Yang, Diploma in Game Development & Technology
- Liv Lim Jia Wei, Angelyn Boonlertsap, Ting Tze Chin Rena, Diploma in Digital Game Art & Design
Developed in collaboration with nurses from KK Women's and Children's Hospital (KKH), this educational game effectively refreshes knowledge of KKH-specific procedures while fostering engagement, skill retention, and practical application. By emphasising practical application, it equips nurses with the essential skills needed to excel in real-world healthcare settings. This collaborative effort not only enhances learning but also strengthens the connection between education and professional practice.
This game has been incorporated into KKH's orientation for final-year nursing students and has received positive feedback.
GaitVision (2024)
- Worajak Tangcharoen, Leo Zuo Yuan, Goh Jun Hao
Diploma in Biomedical Engineering
GaitVision is an AI-based system designed to prevent falls in healthcare settings. Utilising pose estimation technology integrated with CCTVs, it monitors and analyses patient gait in real-time, identifying potential fall risks and alerting medical staff promptly. This approach eliminates the need for wearable sensors, thereby enhancing patient safety and comfort.
The team is also exploring opportunities to expand GaitVision's applications to benefit the larger community.