UV sterilization shoes kills bacteria on the soles of the shoes while the person is walking. It can minimise the harmful effect of the disinfection products to human body and the environment. A pressure generating sheet is installed under the insole, and the UV-C LED lamps installed on the sole of the shoe will be turned on when walking, achieving ‘One step per person, sterilization done’.

This app focuses on those easy-to-injury motions of the elderly and helps train the muscles for improving their abilities of balance. The app is easy to operate and there are teaching videos guiding the elderly to do gymnastics in correct postures. In addition, this app will use PoseNet AI to detect if the motions are correct and to futher train the flexibility of the elderly to reduce their chances of falling. After completing the exercise, the results will be emailed to family members and doctors so that they can understand the physical condition of the elderly as early as possible for follow-ups.

This study aims to investigate the effectiveness of 5 different agricultural wastes (bagasse, coconut coir, corncob, edamame shell and peanut shell) as raw materials to make adsorbents to remove heavy metal ions (mercury(II), lead(II) and copper(II)) and paraffin oil. The yield of different raw materials after treated with citric acid or nitric acid was compared and different adsorbents to remove heavy metals and paraffin oil were used. Overall, the performance of using bagasse as the raw material is good and hence, it may help alleviate the water pollution problem.

Nung is a watch that can track and analyse vibration patterns of the patients throughout the day. The large amount of data collected will be fed into a machine learning model that can accurately calculate the first five times of the most vigorous vibration of the patients of the day. This does not only record the past symptoms of the patients for hospital use, the data collected but also serve as a reference for future drug development.