Our Information and Communications Technology (Software Engineering) students have helped bridge healthcare and ICT to create a meaningful impact on lives. Building a mobile application that allows National University Hospital (NUH) doctors to keep track of infants' data on-the-go, our students have taken a step further by improving workflow areas such as minimising human error, offline capabilities, and portability.

The AI Powered Image Classification and Object Detection for Interior Design project is a system built by our students that consist of a machine learning model which classifies images according to a predefined set of interior design themes. Additionally, the system can detect common objects such as furniture items found in the images. This project, completed for and funded by our industry partner, Sixides, was the first under SIT's newly formed Design Factory @ SIT and featured a cross-cluster collaboration between ICT and DSB clusters.

The AI Powered Image Classification and Object Detection for Interior Design project is a system built by our students that consist of a machine learning model which classifies images according to a predefined set of interior design themes. Additionally, the system can detect common objects such as furniture items found in the images. This project, completed for and funded by our industry partner, Sixides, was the first under SIT's newly formed Design Factory @ SIT and featured a cross-cluster collaboration between ICT and DSB clusters.

The AI Powered Image Classification and Object Detection for Interior Design project is a system built by our students that consist of a machine learning model which classifies images according to a predefined set of interior design themes. Additionally, the system can detect common objects such as furniture items found in the images. This project, completed for and funded by our industry partner, Sixides, was the first under SIT's newly formed Design Factory @ SIT and featured a cross-cluster collaboration between ICT and DSB clusters.

The Drone Attack project presents an automated framework for launching cyber attacks against different types of commercial drones. Additionally, this also provides a structure for finding and adding new cyber threats. Students from three different years participated in the project along with our industry partner.

A tragic and terrifying moment took place in this kitchen involving an evil spirit hungry for the soul of the living. A fight broke out between the family living there and the evil spirit. Now, it is abandoned and the spirit is trapped inside the refrigerator, waiting to be exorcised. Rendered in Unreal Engine 5.

A cinematic walkthrough of a steampunk detective’s office. Rendered in Unreal Engine 5.

Lee, a stressed out and tired young boy is in bed trying to get some rest before a major exam at school the next day. However, he is restless from anxiety. He grabs his phone and listens to relaxing music to block out the stress. Lee tries to count sheep to help himself relax, but all his stress and worries manifest in his dreams, along with a ferocious demonic tiger.

A Chinese apothecary that also serves the function of a teahouse. Rendered in Unreal Engine 5.

An alien finds out that the famous Space Bar is hiring new food deliverers, and decides to take on the job. As he is about to make his final delivery for the day, he finds himself trapped in a mysterious house, home to a precious treasure and a misunderstood scientist.