With rapid development of microcontrollers and sensors in recent years, the project is designed to explore the use of robots for test automation on the Automated Gates which are used in Mass Rapid Transport (MRT) stations.

The Smart Waste Manager Application System was developed to overcome waste management problems, such as how to effectively manage, reduce and remove production waste generated by the manufacturing industry.

To help shopping mall operators understand their customer profile better, the project is focused on using location sensor technologies to understand customers’ movement in malls through development of a Facebook web application.

Machine Learning Prediction/Forecasting engine for multi-dimensional Point-of-Sale projections of Sales, Customer footfall and Labor information, enabling robust, automated workforce planning and optimization for brick and Mortar retail establishments.

Enriching campaign decisions by predicting cross-sell and up-sell opportunities through augmentation of demographic and purchase data with product sequences, customer life stage and geocoded data.

A prediction model to foresee the success of fundraising campaigns hosted in NVPC’s Giving.sg platform to raise funds for charities in Singapore and thereby identifying the factors contributing to their success.

This project proposes a stochastic-optimization approach using machine learning to obtain the best combination of chiller set-point parameters at a given time step. The process remains self-adaptive, yet can potentially avoid suboptimal parameters. The model is empirically evaluated on a real world dataset.

This project investigates the feasibility of applying Markov Chain theory to predictive maintenance. It provides a probabilistic approach to characterize flow rate and reject rate in manufacturing, with detection of abnormal behavior and recommendations for intervention.

This project conducts an in-depth quantitative analysis using the collected patient feedback data and applies text mining to extract information on complaints to figure out what patients are complaining. A web UI is implemented to go through the end-to-end analysis circle that can present all insights to help the Quality Service Management Department make forward-looking service improvement.

Tender Trackers (TT) is a one-stop place for businesses to trade and procure goods and services. It provides a platform for businesses to evaluate the bidders easily and get the best value from the suppliers. It is also a source for suppliers to look for potential opportunities. In addition, TT will aggregate tender information from multiple external sources such as GeBiz.

Tender Trackers allows users to track their tender contracts throughout the contractual period.

It also has an open marketplace for businesses to offer their products and services.

Mobile App: Enhancement of a mobile application which runs on Android platform with additional features that helps the user to view dashboard, search and view other Employee detail of the same and different departments and also the can view their own details.

On-Boarding: On-boarding web portal where the HR user can send the link for Onboarding to new-hires, this link will navigate the new-hire candidate through various steps necessary for on-Boarding including Documents upload, Personal Information etc.

The objective of the project being undertaken is to develop an interactive back-end and dashboard that allows operators to configure, inspect and test functionality of distributed smart sensor driven systems, which comprises of different sensors and gateways. A demonstrator of such a smart sensor driven has been built in TÜV SÜD - Smart healthcare for aging-in-place. The Smart Health Verification System verifies the operations of this demonstrator system.