Faculty of Engineering

Lost slime: a new home

Lost Slime is a Multiplayer-Educational-Rhythm game that runs on your web browser, written in javascript with Node.js, Express.js and Socket.IO. It is designed to be lightweight and responsive to run on any PC.

Find Slimies new houses! Players compete to stack the tallest pillar to gain a high ground — which helps Slimies in spotting new locations for housing. To stack a pillar block, players time their space-bars along with the music beats. There are also phrases or sentences intertwined, that players have to input correctly before pressing space-bar. With these two objectives carried out, Slimies can then jump on the newly stacked pillar block!

What’s more, there are two additional single-player modes, where players strive for stacking the tallest pillar in High-score Mode, as well as surviving as long as possible, in Survival Mode, before the camera catches up!

We set out in making the game casually improve players’ typing proficiency. It could be cheerful-lighthearted, or mechanically intensive. We have designed an additional beat-mapper program to translate music pieces into custom track information used by the game, in json format. Which means players can create authentic mappings with their favorite music!

Planto – Digital data driven financial advisor

Planto is a data driven digital finance advisor that helps millennials achieve financial greatness allowing users to plan, track and stay on top
of their progress. By automatically aggregating user’s
savings, credit cards, investments, loans, mortgages and retirement
accounts – Planto can leverage AI and big data to proactively give
predictive financial advice that is always in users’ interest.

eCup

eCup promotes coffee culture and grows whole supply chain market via digital. Our service is unique in HK and ASEANs among any other F&B solutions as we cover vertically entire user journey on coffee from knowledge, searching, ordering, e-payment, e-stamps, rewards and after purchase engagement, which gives a pioneer digital & fully automated UX. We have UI tailor made based on user’s coffee habit, innovative friends treat feature via WhatsApp (i.e. Treat friends coffee remotely), big data campaign analysis, and user behavior driven CRM. Our mission is, when you need coffee, use eCup.

Development of universal testing machine with digital image correlation system for soft and biomaterials

Research on the development of new types of biomaterials has become one of the major focus in the engineering field in recent years. The biomaterial is integrated with medical engineering so it can be engineered to interact with the biological system in the human body for the different medical purpose. In order to opt for the optimal biomaterial for a certain medical purpose, several testing related to the measurement of displacement and strain should be performed on the biomaterial. This project aim to develop an Universal Testing Machine (UTM) with Digital Image Correlation method (DIC) to provide a field true strain measurement and reduces the disturbance on the local mechanical response of the local mechanical response of the testing material, providing a better, more precise and immediate strain/displacement analysis of the experiment than using the extensometer.

Tenki

At Tenki, we hope to delivery accurate local weather data to Hong Kong citizens in minimal manner.

Tenki is a revolutionary weather app. Retrieving its data from Hong Kong Observatory, Tenki provides accurate local weather data to HK citizens. The redesigned minimalistic user interface provides a distinctive and holistic user experience. Users get to access their desired information at their fingertips.

Tenki updates weather information according to users’ location. Users can receive notifications in case of special weather conditions. They can also access to other information such as weather forecast and astronomic data.

LunchToGether

People often relate eating alone with loneliness. A research found that eating alone may result in various health problems including depression, obesity and having metabolic syndrome. There are different constrains, like time limit and geological separation, in finding friends to gather for lunch, yet, having lunch is a good social activity to meet people. LunchToGether is a match app for lunch dates, linking people in nearby region wishing to have lunch in the same period of time together to form lunch date groups. The app features instant multiple matching. Whenever you would have lunch, launch the app, then we will make all the arrangements for you.

Go Princess

Go Princess is a 2D escape adventure game made with unity. While sleeping beauty waits hundreds of years for prince’s kiss, our princess wakes up and fight for her destiny. The princess has two tasks, namely keeping alive and escaping. To keep alive, princess should elude possible monsters in her way out. She also need to walk around to find food to support since health point decreases with time. To find the way to escape, she will interact with many NPCs in castle, from whom she might receive messages or useful tools. Finally she will fight with wizard in the main door to get freedom.

3D Food printer

The project aims to build a 3D food printer that is user-friendly for household users, through remodelling of the TEVO Tarantula 3D printer. Upon completion on configuration of hardware and software, an extrusion system is designed based on a meat mincer. The goal of this project is to print the customised dish with food material in high precisity. Another focus of this project is exploring food material applicable for 3D printing. With rich nutrient content and high formability, potatoes is chosen to make a great show with other supporting actress. The effort paid by the team does make an exciting return. It is wished that the efficiency of the printer can be greatly enhanced in the foreseeable future and finally be a necessary for a home.

Advancing optical label-free cellular imaging – from instrumentation to cell assays

Quantitative phase imaging (QPI) is an advanced optical microscopy technique that requires no sample staining and allows quantitative measurement of biophysical parameters of the cell specimens. This technique is desirable especially in live-cell imaging, as it can yield cellular dry mass distribution, intracellular dynamics as well as size of cells with minimal intervention/damage to the sample. A compact and easily-compatible setup of QPI was developed and applied to a wide range of biomedical applications, ranging from fundamental biological studies in brain imaging, to the clinical studies in drug-screening for breast cancer cells and characterization of pathogenic bacteria biofilms.