Computer Science

In view of the rising trend of mental health issues among students, measures are certainly needed to alleviate the serious situation. Drift Bottle is an innovative platform for students to express their emotions in a message-in-a-bottle style. With the help of artificial intelligence in the phases of content moderation and sentiment analysis, this platform is free of malicious content and solely for users to share their delightful or distressed moments. Moreover, specialist will be contacting users for consultation and guidance in order to support them mentally. We hope that through sharing your own thoughts and reading fellow peers’ stories, students could better manage their stress and emotions, and hence reducing the risk of having mental health issues.

MemoMe is an Android Application aiming at improving teenager mental health. It integrates multiple functionalities, allowing users to express their emotions, give and get support from other people, make grounded to-do plans facing their problems.

It enables users to plan meaningful activities and get reward after completion. The reward can be used later in the online community. The community is where users can express themselves anonymously and give support or get support via virtual gifts. The gifts are bought by the coins received from to-do plan completion by the user.

This application targets at the prevalence of teenager anxiety these days. One the one hand, it offers a stress relieving platform for teenagers to express their feelings anonymously and help each other to face the common growing pains. On the other hand, making to-do plans are strongly encouraged as this will help them to ease the anxiety from the root.

The project has been submitted to Samsung Solve for Tomorrow Competition.

Relax, Recharge and Reflect! Pacifi offers a solution to depression, anxiety and stress. It is the first app of its kind in the market focusing on teenagers’ mental health.

The team members have recently made their submission to Samsung Competition and the app was made based on the theme provided to them by the Samsung.

This is an Android app that monitors a person sitting posture in real time. It keeps track of three points of a human body: ear, shoulder, and hip position.
By observing these three points, the app categorize the posture of the person into 1)
Straight, 2) Hunched Back or 3) Arched Back, and records the distribution of your posture during the monitored period (e.g. When you are doing revision, you sit straight 50% of the time, you hunchback 25% of the time and you arch back 25% of the time).
To use this app, position your phone camera so that it captures the side view of your sitting posture, then the app will start to monitor your posture automatically and gives you a simple report of your posture after the session.

In today’s fast paced world, students in particular are suffering from mental health problems caused exam stress and social anxiety, leading to a rise in suicide rates and depression. Furthermore, discussing mental health problems remains a taboo in our society, preventing youngsters from approaching their family or friends for help. Cognizance, our mobile app, allows students to sign up confidentially and browse through various mindfulness activities designed for improving their mental state through their daily activities. Our mobile app uses data analytics and artificial intelligence for making personalised recommendations to users on the activities that best suit their mental health.

The project has been involved in “Samsung Solve for Tomorrow Competition 2019” and results in fruitful outcomes.

SLS (Smart Laundry System) by R.C. Tech Club aims to help hall residents in R.C. Lee Hall track the availability of laundry machines that are situated on the 16th floor using their mobile devices. Until now, residents had to go all the way to the 16th floor for laundry, only to find that the machines are full. We took advantage of a light indicator on the laundry machines that would tell us if the door of a machine is locked (when the machine is in use). Employing light sensors, the system collects information about the status of the doors (and hence, the status of the machines). Then, the system sends that data to our web infrastructure, to be displayed on a user-friendly website on a real-time basis, effectively making our laundry machines an IoT.