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 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.
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.
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.
A raspberry pi has been programmed using Linux to get the unique MAC addresses of the Wifi users and count the number of devices periodically and output the data in a text file. The data can be used to assess the crowdedness of a place.
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.
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.
We are a research data crowdsourcing platform for researchers & AI companies to collect & enrich data with the help from public contributors. We are founded by a group of HKU BBA(IS)/CS graduates and MSc(CS) students, supported by HKU, Cyberport and HKSTP.
If you need labels & annotations for your AI/ML projects, or look for manpower for collecting & preprocessing data, we can help save time & resource required to manage the data contributors and collect more quality & diverse data efficiently. Our platform currently specializes in offering:
1. Image/Video/Audio/Doc tagging & annotation
2. Survey
3. Sentiment analysis
Efficient collaboration of data is essential for successful project delivery of
Building Information Modeling (BIM), which mainly relies on its visualization performance. VR technology can extend the advantage to create a more engaging and realistic environment for every stakeholder. As a large number of software for BIM and VR computing are available on the internet, it is vital to find the most effective workflow to transfer the project from modeling tool to the VR engine.
In this project, we would explore the performance of different software and hardware to find the best solution to BIM-VR collaboration workflow.
A multiphoton-based protein micropatterning technique was developed in our lab previously. In this project, protein micropillar arrays were fabricated for cell seeding, and it was utilized for single cell traction force measurement. On the other hand, a method for encapsulating cells in collagen gel for cell therapy was also developed in the lab before. In order to improve the efficiency of cell therapy using this method, characteristics of these cells has to be identified. Therefore, the traction force of stem cells that are migrated out from the gel and the cells that are not encapsulated in the gel were measured and compared to understand the differences between them.