Project proposer: Tang Caoyu (e1704667@u.nus.edu)

Paintings are more than visual images, yet museum visitors typically experience them through sight alone, missing the textures, brushstrokes and material techniques that are integral to how artworks are created. This project aims to develop tactile representations of paintings that translate artistic techniques, such as brushwork, layering and surface textures, into physical forms that visitors can explore through touch. We will investigate materials, fabrication techniques and accessible design through iterative prototyping and user testing, with the goal of creating more inclusive and multisensory museum experiences, particularly for blind and low-vision visitors.

Project proposer: Satoshi Magata (satoshi.magata@u.nus.edu)

As Singapore experiences rising temperatures and increasing heat stress, staying cool while moving outdoors is becoming an everyday challenge. This project aims to develop an affordable, lightweight and stylish wearable neck fan that uses compact, battery-powered fans to direct airflow over the neck and surrounding skin, enhancing heat loss through sweat evaporation and convective cooling without occupying the user's hands. Students will explore innovative airflow designs, fan technologies, ergonomics and product engineering through iterative prototyping and user testing, with the goal of creating a practical and comfortable cooling solution that overcomes the bulk, noise and limited cooling effectiveness of existing wearable fans.

Project proposer: Anit Srinivasan (anitsrini@u.nus.edu)

MARSHAL is a start-up project to repaint faded carpark lots and road markings in Singapore using a Unitree Go2 robot dog, replacing slow and costly manual painting crews. The robot dog needs a spray arm attached to it that can aim and spray paint accurately, and an early prototype of this arm already exists that needs to be developed further. The team is looking for students from a wide range of areas such as robotics, mechanical and electrical engineering, business and more. Teammates would work on parts of the project such as controlling and aiming the arm, mounting it on the robot, planning how the robot moves around a carpark, and testing it. The business side would look at the market, costs, pricing and how to approach carpark owners. Curiosity and a willingness to build matter more than prior experience.

Project proposer: Chua Zhuo Hong Dominc (dominicchua@u.nus.edu)

Our project aims to develop an AI-assisted rehabilitation system that makes physiotherapy more personalised, adaptive, and accessible. By integrating intelligent motion tracking, sensors, and adaptive resistance mechanisms, the system seeks to monitor patients' movements in real time, detecting incorrect posture, compensatory muscle movements, and deviations from prescribed exercise techniques. Based on the patient's performance and rehabilitation progress, the system will dynamically adjust resistance levels to provide an appropriate level of challenge while promoting correct movement patterns and minimizing the risk of injury. Beyond real-time assistance, the system will track key rehabilitation metrics, such as range of motion, exercise performance, and progression over time. These insights will be compiled into comprehensive reports for physiotherapists to review during subsequent sessions, allowing them to make informed adjustments to treatment plans. Ultimately, we aim to bridge the gap between supervised physiotherapy sessions and independent rehabilitation, empowering patients to recover more effectively through personalized, data-driven care.