Project Background

Students from Temasek Polytechnic’s Diploma in Culinary & Catering Management are required to practise table-setting skills as part of their training. However, practising with real cutlery and tableware is inconvenient as time is spent on the preparation and cleaning up.

Culinary VR is a single-player educational simulation game which simulates a table-setting test taken by the students. It recreates the test environment as accurately as possible, and follows all the test procedures. The game features two modes: a guided mode and a test mode. The guided mode takes the student virtually through the correct procedures they should follow to pass the test. The test mode puts them in a real test environment where they are timed and scored based on their performance. Culinary VR also has a leaderboard feature for students to compare their performance with others.

Key Benefits

• Convenient – Culinary students can practise for their test without having to prepare cutlery and other tableware.
• Cost-effective – Practising in a VR simulation means there is no risk of breaking expensive, fragile tableware.

Key Technologies Used

• Autodesk Maya
• HTC Vive
• Unity 3D

Potential Opportunities

This application can be enhanced with the following:

• Providing for training of waiters in other skill sets in the F&B industry such as clearing of tables.

Project Team Members

• Mohamed Faez Bin Shahlan (Project Leader)
• Sanford Donavern Ang Rui Xian
• Teo Ming Enn

Industry Partner

Temasek Polytechnic’s Diploma in Culinary & Catering Management

Supervisor

Mr Tan Hong Yap

Project Background

Have you ever wondered what your students are feeling in class? How do you gauge if a lesson activity was well-received? Let Emotion Recognition analyse your students’ emotions and reactions to decipher what they are feeling.

Emotion Recognition is a Windows application that assists in recording and analysing students’ emotions and reactions during lessons. Using Microsoft Cognitive services, the programme captures and analyses the various faces detected and then displays the corresponding emotions identified. This data is captured into a live chart and a database so teachers can easily measure students’ emotions during lessons. Teachers are also able to view the historical data for future research to make lessons more engaging.

Key Benefits

• Efficient – Teachers can find out what their students are feeling by simply letting the programme run during their lessons.
• Easy to Use – This is a simple programme to navigate and use. Teachers can easily run the programme without disrupting their lessons.

Key Technologies Used

• Microsoft Cognitive Services
• C#
• XAML in Visual Studio

Potential Opportunities

This application can be enhanced with the following:

• Used in events to understand and analyse audience’s experience.
• Deployed as an interactive tool to gauge customers’ satisfaction.

Project Team Members

• Nurul Aini Bte Azri
• Thien Yun Kai

Supervisor

• Ms Chew Li Peng, Jamie
• Mr David Wang Yanbin

Project Background

Nurses need to be trained to manage high-risk clinical events such as Code Blue situations. Conventional training methods typically use high fidelity mannequins to simulate scenarios. However, these lack realism as mannequins are unable to depict the urgency and the context of the emergency event.

Mannequin Augmentation is an educational training simulation combining the use of augmented reality (AR) with high fidelity mannequins. Using AR technology, the application is able to overlay information and graphics onto the mannequins, enabling trainees to obtain a visual and tactile sense of emergency situations. Thus, it will bring a new dimension of realism by allowing mannequins to portray emotions such as sadness or pain, and psychological symptoms such as confusion.

This project was showcased at the inaugural S3 Conference 2017 during the keynote speech by Integrated Health Information Systems. This conference has close to 500 of the world’s leading experts from Singapore, Europe and USA, which lead the transformation of medical simulation in the region.

Key Benefits

• Realistic – Trainee nurses are able to receive authentic training experiences through visual and tactile sense of emergency situations.
• Responsive – Instant feedback provided is able to prompt and guide the nurses in managing the patients’ needs.

Key Technologies Used

• Unity 3D
• Autodesk Maya
• Visual Studio

Potential Opportunities

This application can be enhanced with the following:

• Addition of more clinical symptoms such as inflammation and changing of skin tone

Project Team Members

• Ahmad Iqbal Bin Othman
• Darryl James Rosario Arado
• Goh Yong Heng
• Liu Zhongheng
• Muhammad Adli Bin Jumahat
• Ng Zheng Jie Samuel

Industry Partner

• Ng Teng Fong General Hospital
• Advanced Remanufacturing and Technology Centre (ARTC)

Supervisor

Mr Tan Hong Yap

Project Background

Code Blue Go is a simulation game developed for the Institute of Mental Health as a tool to facilitate training and assessment of nurses in preparation for a Code Blue event. 

Code Blue Go takes the user through a series of live action interactive videos which test the user’s knowledge on the numerous procedures during a Code Blue scenario through question prompts and mini-games.

Due to the ever-changing nature of the Code Blue procedure, Code Blue Go was created to be completely modular in design. Updated segments of the Code Blue procedure need only be re-filmed to replace outdated footage without the need to re-film the entire process.  To fulfil the need for assessment of trainee staff, Code Blue Go tracks user performance throughout their play-through and provides teaching staff performance metrics such as the time taken to complete resuscitation and the number of failed attempts.

Key Benefits

• Portable – Allows users to practise anytime and anywhere.
• Comprehensive – Covers all the important details involving the Code Blue procedure.

Key Technologies Used

• Unity 3D
• Adobe Premiere CC
• Reaper

Potential Opportunities

This application can be enhanced with the following:

• Expanding to include training of nurses in other hospitals.
• Porting to mobile platforms such as Android and iOS systems.

Project Team Members

• Tay Yan Chong, Clarence (Project Leader)
• David Chew Zhi Heng
• Loh Yong Zheng
• Ng Zheng Kai Justin

Industry Partner

Institute of Mental Health

Supervisor

Mr Lim Kang Woei, Sean

Project Background

The Eikon Excel Dashboard is an analytical tool that bridges the gap between raw data and analysis. It is designed to assist users in assessing and analysing the factors driving the energy market. The Excel dashboard is integrated with an Excel plug-in feature, Eikon Excel, that extracts data directly from the  Thomson Reuters database on a real time basis.

The real time datasets and intuitive visual aids presented across the dashboard will assist users in conducting their research and exploring potential trends, such as price, demand, supply, in the energy market. Furthermore, the dashboard allows users to customise the way the data is being presented using charts for better data analysis.

Key Benefits

• Customisable – Table content and charting can be customised according to user selection of demand/supply source or time period.
• Real-time – Users are viewing the latest market data as it is automatically refreshed at a fixed time interval.

Key Technologies Used

• Thomson Reuters Eikon Excel plug-in
• Microsoft Excel Formulas

Potential Opportunities

This application can be enhanced with the following:

• Ability to offer the dashboard on different platforms besides Microsoft Excel.
• Inclusion of energy market news articles to facilitate fundamental analysis.

Project Team Members

• Amos Khoo Yong Jun
• Chen Bing Sen
• Zhang Xiaoyue

Industry Partner

Thomson Reuters

Supervisor

Mr Wong Kok Keong

Project Background

JPay is an application system that has an integrated digital wallet for secured cashless payments. The system allows users to keep track and monitor their transactions using a highly intuitive, user-friendly dashboard.

JPay uses blockchain technology to allow transactions to be completed without a middleman, such as banks. Security is ensured by the encryption of all sensitive data with the Secure Hash Algorithm (SHA-256), and the use of token authorisation and Two Factor Authentication (2FA) technology.

JPay can easily be adopted by integrating it onto any platform that has a http web interface, for example, Telegram chatbots or HTML5 web applications.

Key Benefits

• Secure – Transactions are processed securely using various encryption and authorisation methods.
• Convenient – Users can easily make payments on-the-go via chatbots on existing social media platforms.

Key Technologies Used

• Framework: Hyperledger Fabric, BrainTree, RESTful Web API
• Programming Languages: NodeJS, AngularJS, ReactJS, HTML, CSS, GoLang
• Database: MongoDB, MsSQL, Azure DocumentDB, Azure Queue Store
• Virtual Machines: Docker Engine, Linux Server VM

Potential Opportunities

This application can be enhanced with the following:

• Incorporating Artificial Intelligence and Machine Learning for merchants to gain insights on customers’ needs and customer retention.
• Automating payments using GPS, NFC and sensors to ensure a hassle-free shopping experience.

Project Team Members

• Caleb Cheong
• Lim Jingheng Shawn
• Tan Tze Yong Thaddeus
• Yip Hou Liang

Industry Partner

Jungle Element

Supervisor

Ms How Woan Ling

Project Background

Numerelic 2 is a mobile educational game that trains primary school students in solving mathematical problem sums. Players can select their chosen level, from Primary 1 to Primary 6, and then select from among three unique and different game modes. 

When players start the game, they will be playing as a video game character on a floating platform. A question would be posed to the player and multiple answers would be spawned on the floating platform. Players can earn rewards such as time boosts and in-game points to unlock skins to personalise their game character. As they become more experienced, players can challenge themselves and set a high score on the leaderboard, or compete against other players in real time.

Key Benefits

• Convenient – Play the game and learn mathematics on the go.
• Engaging – Learn mathematics in a fun environment and be rewarded.
• Progressive – Develop a better understanding of concepts through daily, gradual progression.

Key Technologies Used

• Unity 3D
• Adobe Creative Cloud

Potential Opportunities

This application can be enhanced with the following:

• Ability to be developed as an online multiplayer game.
• Ability to expand by adding more question types such as graphs and pictures.

Project Team Members

• Jarno Jegor De Lacy (Project Leader)
• Mah Jin Zhen
• Mohamed Norazlan Shah B Amran
• Ng Zu Yong

Industry Partner

Pasir Ris Primary School

Supervisor

Mr Malcolm Stuart Grant

Project Background

The Rental Property Performance Dashboards project is a set of business intelligence dashboards that are designed to help senior management and investment managers in making effective investment decisions in the real estate serviced apartment property sector.

The dashboards present the key performance indicators and historical trends of specific rental property investments which aid the investment team in making more informed analyses. Each dashboard allows for further drilling down to various levels of hierarchy such as country, portfolio and property. This provides the team with more powerful insights and diverse investment perspectives, in order to enable them to either invest further in that portfolio or to cut their losses.

Key Benefits

• Dashboard Automation – Updates automatically according to a pre-scheduled timing.
• Data Visualisation – Provides users with powerful insights to aid in investment decisions.

Key Technologies Used

• Tableau

Potential Opportunities

This application can be enhanced with the following:

• Comparisons to other real estate investments such as retail and hospitality investments.
• Tracking of specific property-related investment information via email notifications.

Project Team Members

• Yeo Yuan Xin

Supervisor

Ms How Woan Ling

Project Background

RPAmetrics is a Robotic Process Automation (RPA) application that automates the software token request process. The software token is a mechanism that is used to perform Two Factor Authentication (2FA) in order for staff to access the Intranet from outside the office.

RPAmetrics comprises various components to extract software token request emails from the server, process these requests and log the data of all processed requests. Based on the data collected, RPAmetrics will generate a dashboard which provides an overview of the software token request performance.

This project was developed for the Helpdesk team at the Technology Department of GIC Private Limited to process software token requests from the staff members.

Key Benefits

• Reduces human labour – Minimises the need for human intervention in the software token request process.
• Eliminates human error – Provides error-free processing of the software token requests.
• Increases efficiency – Reduces the processing time from 10 minutes to 4 minutes per request.

Key Technologies Used

• C#
• VoiceMacro application
• HTML
• JavaScript
• Highcharts

Potential Opportunities

This application can be enhanced with the following:

• Automation of other repetitive and manual tasks such as banking approval processes.

Project Team Members

• Li Hao

Industry Partner

GIC Private Limited

Supervisor

Mr Lim Beng Kee, Ryan

Project Background

Are you always too busy to check on your plants? Have you forgotten to water them regularly? With the Smart Garden System, you can sit back, relax, and let technology take care of your plants.

The Smart Garden System automatically monitors the environment to make sure that your plants stay healthy. This Internet of Things (IoT) solution includes sensors, an automated water irrigation system and a mobile application. When unfavourable conditions are detected, such as low water levels, the system triggers a notification to prompt you to water the plants. You can easily monitor the condition of your plants and control the system using the web dashboard and voice assistant (Alexa). In addition, the system includes an augmented reality mobile application for visitors to understand more about the plants when they explore your garden.

Key Benefits

• Convenient – Allows users to view real time data and automate the watering of plants.
• Versatile – Lets users customise the settings of the system.
• Educational – Presents information about plants in a fun and engaging way.

Key Technologies Used

• Ubidots Cloud Platform
• Arduino Yun
• Alexa Skills Kit
• Amazon Lambda
• Unity
• Vuforia
• Blender
• Apache Cordova

Potential Opportunities

This application can be enhanced with the following:

• This system can be enhanced and applied to large-scale parks and gardens such as the Singapore Botanic Gardens

Project Team Members

• Michael Tanri (Project Leader)
• Kwan Wei Long
• Toh Jie Hui

Supervisor

Ms Nah Swee Eng, Roselind

Project Background

Do you find yourself coming home at night and having to search for the light switches in the dark? Or do you find it frustrating having to search for your keys to unlock and open your doors? Let the Smart Home Application assist you in controlling your lights and doors remotely.

The Smart Home Application is a mobile application that allows you to remotely switch on the lights in your home. It even assists you in opening the doors. It is an easy-to-use application that aims to show the potential of transforming your home into a smart home. With this proof of concept, the application has the potential to control other devices in the home such as air conditioners.

Key Benefits

• Convenient – Devices in the home can be controlled remotely using the mobile application.
• Customisable – The single mobile application can be customised to control various devices in the home.

Key Technologies Used

• NodeMCU
• Servo
• Modified LED lights
• Adafruit

Potential Opportunities

This application can be enhanced with the following:

• This application can be enhanced to work with other devices around the home such as air conditioners.

Project Team Members

• Kyle Roberto Baptist (Project Leader)
• Muhammad Bin Ramle

Supervisor

Mr Leong Peng Kwai, John

Project Background

The TP SkillsFuture Advisor is a chatbot to answer users’ queries regarding SkillsFuture courses. Created in collaboration with Temasek SkillsFuture Academy (TSA), this chatbot can provide responses throughout the day on common queries regarding the application process or course eligibility for the courses under the Earn and Learn Programme. Hence, interested applicants for these programmes do not have to make appointments or speak to TSA staff to get frequently asked questions answered.

This chatbot uses the IBM Watson Conversation Service and is accessible via a browser as well as Facebook Messenger. So, users do not need to download a separate application to get immediate answers to their queries.

Key Benefits

• Accessibility – The chatbot can be accessed easily using a browser or Facebook Messenger and responds to questions at any time of the day.
• Versatility – Text-to-speech integration allows users to ask their questions verbally instead of typing them out.
• Ease of Feedback Collection – Users can rate responses using a thumbs up/down system. With this feedback, improvements can be made to the chatbot’s responses.

Key Technologies Used

• Python
• Node.js
• Google’s Firebase Realtime Database
• Facebook Messenger
• IBM Watson Conversation Service

Potential Opportunities

This application can be enhanced with the following:

• This application can be enhanced to work with digital assistants like Amazon Alexa and Google Assistant.

Project Team Members

• Baratharam S/O Manogaran
• Camillia Bte Hassim
• Kui Kai Ting
• Stanley Ng Wee Tee

Industry Partner

Temasek SkillsFuture Academy

Supervisor

Mr Ngeow Teck Liang, Simon

Project Background

Have you ever had trouble concentrating as the environment is too cold or stuffy? The Conducive Environment project is a smart, sustainable and scalable solution designed to maintain a comfortable environment to maximise productivity. It also assists the facility management staff and security personnel as the lighting and air-conditioning system checks can be done remotely.

This Internet of Things (IoT) solution deploys sensors to measure temperature, humidity, carbon dioxide and light values of an area. The data is collected and stored on a cloud platform. The solution also comes with a web dashboard interface where the environmental data collected can be monitored and analysed. This allows users to configure the system’s settings manually or automatically. Hence, it is easier to maintain a conducive environment for working.

Key Benefits

• Convenient – Facilities can be automatically adjusted to suit the environment.
• Energy-saving – Power is saved by the automatic switching off of facilities when not needed.
• User-friendly – Staff can easily control the system using the web interface.

Key Technologies Used

• Amazon Web Services, Google Firebase, and Heroku
• Unabiz Sens’it Multi-Sensor, Arduino, UnaShield
• Sigfox Wireless Network
• Anjels iNet Node, and iTop-Switches
• Temperature, Humidity, Carbon Dioxide, and Light sensors
• MEAN Stack (MySQL, Express JS, Angular, Node JS)

Potential Opportunities

This application can be enhanced with the following:

• Machine Learning (Artificial Intelligence) for video analytics.
• Integration with Building Management Systems.

Project Team Members

• Wei Minn (Project Leader)
• Lee Boon Choon
• Ma Silu
• Wang Bo

Industry Partner

• UnaBiz Network Pte Ltd
• Anjels Pte Ltd

Supervisor

Ms Lam Su Yi

Project Background

VR Carnival is a single-player environmental simulation Virtual Reality (VR) game which allows the player to experience what it is like to be in the shoes of someone at a carnival. The highly interactive carnival environment makes the game realistic and immersive.

It provides an engaging virtual reality experience where the player can explore the carnival, and then compete in various different mini games throughout the virtual carnival. The project serves the dual purpose of reviving the nostalgia of visiting a carnival while showcasing the potential of cutting-edge VR technologies.

Key Benefits

• Entertaining – Immersive graphics and gameplay ensure a fun and interactive time for the player.
• Engaging – Experience VR in a retro setting which is suitable for all ages.

Key Technologies Used

• HTC Vive
• Unity 3D
• Autodesk Maya
• Adobe Photoshop
• Substance Painter

Potential Opportunities

This application can be enhanced with the following:

• Incorporation of more mini games related to a carnival setting, such as shooting games.
• Customisation of a variety of environments to capitalise on the rise of virtual tourism.

Project Team Members

• Tan Zong Yi (Project Leader)
• Goh Geng Min
• Ho Jia Wei
• Ryan Ang Shi Bin
• Yew Jia Zheng

Supervisor

Mr Lim Kang Woei, Sean

Project Background

Video surveillance systems are important for crime prevention and investigation. The current method of surveillance using cameras has limitations as most of these cameras are static and can only cover a particular surveillance area. Hence, there is a need to have a more dynamic surveillance system.

This project explores the use of modern drone technologies to enhance the scope of surveillance and collect real time video data from cameras and sensors. Video analytics algorithms were developed to track an object (such as a human) from videos collected from drones in real time. Furthermore, automatic drone navigation techniques were developed to follow any object continuously.

Key Benefits

• Improved Security – Enhance surveillance scope and allow better tracking of threats.
• Cost Effective – Automated tracking of objects and automatic navigation reduce human efforts required for surveillance tasks.

Key Technologies Used

• Remote sensing
• Computer vision and machine learning
• Embedded systems and rapid prototyping

Potential Opportunities

This application can be enhanced with the following:

• Cross industry utilisation such as border protection for countries
• Artificial intelligence/machine learning technology to track and recognise objects automatically

Project Team Members

• Kwong Wai Kit
• Lin Zixing
• Teh Yi Kuang

Industry Partner

Hitachi Asia Ltd.

Supervisor

• Ms Imanishi Nami
• Mr Tan Hong Yap

Project Background

We’ve seen robotic toys and vacuum cleaners, but have you ever seen a robot goalkeeper? The AI Goalkeeper uses Artificial Intelligence to ‘train’ the robot to block any approaching shots.

This project integrates machine learning to detect the movement of the ball using a camera. The computer then intelligently predicts the ball’s trajectory and calculates where the goalkeeper must be to stop the ball. The AI Goalkeeper will attempt to block the ball from entering the goalpost by quickly moving to its calculated position.

Key Benefits

• Relieves stress – Challenging the AI Goalkeeper with your shots can help you to relieve stress.
• Enhances shooting accuracy – Repeated shooting practice can help to improve your motor skills

Key Technologies Used

• OpenCV
• Machine Learning
• NVIDIA DIGITS
• Python 3.3

Potential Opportunities

This application can be enhanced with the following:

• Integrated into soccer players’ training routine.
• Used in an arcade to challenge players to beat the highest score.

Project Team Members

• Khairul Ariffin Bin Osman
• Leng Yin Long

Industry Partner

TP-Nvidia Technology Centre

Supervisor

• Ms Chew Li Peng, Jamie
• Mr David Wang Yanbin

Project Background

Imagine knowing exactly which appliances are responsible for your increasing electrical bills at home. You could find out which appliances are frequently used and identify those taking up more energy. That is what the Blk 45 Staff Apartment Dashboard is about.

This dashboard takes in data from your electrical distribution board and displays useful insights to help you save on your electrical bills. With this dashboard, you can easily track the energy consumption of every appliance in the house, and receive information such as what time it was turned on, and  how long it was left running. From this information, you can also look out for the safety of the family when there are anomalies recorded on the dashboard. For example, a kitchen appliance which has been turned on for too long and generating a very high level of energy consumption could be an indication of an accident.

This project, in collaboration with the School of Engineering, received the Silver Award at the SiTF Awards 2017. It also clinched the Gold Award in the MOE Innergy Awards competition in 2017.

Key Benefits

• Energy-Saving – Enables users to reduce the electricity usage of specific appliances by monitoring energy consumption data.
• Enhances Safety – Allows users to check if an appliance has been turned on for too long, which could pose a danger to the safety of those at home

Key Technologies Used

• Power Query Scripting (M language)
• Power BI Visualization

Potential Opportunities

This application can be enhanced with the following:

• Development of a mobile version of the dashboard for easy access to the data
• Integration of dashboard with R Script for time analysis

Project Member

Siti Ameena Binte Sheikh Mohamed

Industry Partner

Smart DB Pte Ltd

Supervisor

Dr Chia Chaw Poh

Project Background

Very often, unemployed mature professionals, managers, executives, and technicians (PMETs) face problems with re-employment due to the lack of knowledge of the skills required by the industry. In addition, these PMETs may not be matched to companies looking for their skillset.

The Job Market Dashboard is an interactive dashboard application created using Tableau that allows Career Coaches from Workforce Singapore to help unemployed mature PMETS make career decisions. The dashboard provides a clear visualisation of employment data and allows Career Coaches to help PMETs find employment based on their job competencies such as technical skills, work styles, social skills, domain and functional knowledge. To keep the information relevant, the dashboard will be updated on a quarterly basis.

Key Benefits

• Convenient – Career Coaches can easily retrieve relevant information to help them advise unemployed mature PMETs.

Key Technologies Used

• Tableau

Potential Opportunities

This application can be enhanced with the following:

• Integration of an automated data gathering and cleansing feature to reduce the manual collection of data.

Project Member

Yong Xin Yi

Industry Partner

Ministry of Communications and Information

Supervisor

Ms Ler Lay Guat

Project Background

As a library patron, have you ever wondered what are the books borrowed by other patrons who enjoy a similar genre of reading material? What if you can find out and further explore your reading interest?

This project uses a network diagram to allow users to have a clear visualisation of books borrowed by fellow patrons who enjoy the same titles. Using the dashboard, insights could be gained by the library’s patrons to find books which might be of interest to them. The visualisations are built using a JavaScript library called Data-Driven Documents (D3). This dashboard also allows staff members of the library to gain insights on the community’s interests and acquire appropriate reading material.

Key Benefits

• Interactive and Insightful – Library patrons can now find books which interest them in an interactive manner.
• Efficient – Staff members of the library can easily visualise reading materials that are of the community’s interest and acquire them.

Key Technologies Used

• JavaScript
• Data-Driven Documents JavaScript library (D3.js)
• Hypertext Markup Language (HTML)
• Cascading Style Sheets (CSS)
• jQuery JavaScript Library
• Bootstrap

Potential Opportunities

This application can be enhanced with the following:

• Cross-industry capability for fraud detection or marketing purposes.

Project Member

Loh Hyun Jin, Nelly

Supervisor

Mr Goh Kai Song

Project Background

Have you ever had queries on employment-related issues and wished there was a quick way for you to get answers? The NTUC Workplace Advisory Chatbot is a new initiative by the National Trades Union Congress (NTUC) to help union members and workers clarify their doubts regarding workplace issues.

It is a chatbot that combines machine learning and artificial intelligence to provide answers to users. The chatbot system integrates several application programming interfaces (APIs) to provide additional functions such as Sentiment Value, Analytics, as well as Authentication. This chatbot is currently being integrated into NTUC’s official website and mobile application, MyNTUC to assist users with their queries.

Key Benefits

• Convenient – Accessible on most web platforms.
• Efficient – Provides fast and succinct replies to users’ enquiries.

Key Technologies Used

• Dialogflow
• Google Sentiment Analysis
• Dashbot

Potential Opportunities

This application can be enhanced with the following:

• Ability to act as a personal assistant so users can perform other tasks like sign up for events or change passwords.

Project Team Members

• Brandon Christopher De Kretser
• Leon Tan Li Yang

Industry Partner

National Trades Union Congress (NTUC)

Supervisor

• Mr David Wang Yanbin
• Mr SankaraRajulu Sundara Rajulu

Project Background

Wouldn’t it be great if we could predict train breakdowns, or at least receive firsthand information about delays? These unforeseen circumstances often happen without warning, and information may not reach us immediately. With the recent occurrence of high profile train breakdowns, it is more crucial than ever to receive immediate notifications of such incidents and predict possible disruptions and delays in train services.

Train Breakdown Analyser is a project that uses real time data to provide immediate reporting of train breakdowns, return a report on the situation, and provide a forecast of possible disruptions. Using the SAS Visual Analytics engine, specific information on train delays could be quickly highlighted and acted upon. In addition, other key features include predicting possible future breakdowns through advanced analytics, as well as analysing public sentiment through data obtained from social media sites. These analyses target to help the Land Transport Authority and SMRT Corporation optimise their resources and provide a smooth travelling experience for commuters.

Key Benefits

• Improved Operational Efficiency – Real time analytics provides immediate reporting and analyses to the management teams of SMRT for effective decision making.
• Increased Consumer Satisfaction – With real time updates, and reduced response time required, delays can be shortened to provide a smoother commuting experience

Key Technologies Used

• SAS Enterprise Guide
• SAS Visual Analytics

Potential Opportunities

This application can be enhanced with the following:

• Better forecasting of disruption occurrences through the training of the model.
• Optimisation of functions using Mobile BI and Native Mobile Applications through iOS or Android.

Project Member

Eng Jia Yi, Tricia

Industry Partner

• SAS Institute
• Land Transport Authority

Supervisor

Mr Surojit Dutta

Project Background

The Community Mediation Unit (CMU), a department under the Ministry of Law, provides informal and voluntary dispute resolution services at its Community Mediation Centre (CMC). By resolving conflicts without going to court, the CMU serves as a more cost-effective and quick alternative to settle disputes.

However, as mediation increases in popularity, mediators at the CMU have been looking for more efficient ways to process and manage data regarding mediation sessions. Hence, this project uses Tableau to automate the input and visualisation of data to enhance the productivity and efficiency of CMU officers. The results of predictive modelling will help CMU officers in their operations and resource management of cases and their assigned mediators.

Key Benefits

• Convenient – The input and visualisation of data is automated and CMU officers no longer need to design charts manually. The time saved can be used to mediate more cases.
• Efficient – The Tableau dashboard is capable of monitoring and updating data of cases in real time.

Key Technologies Used

• Tableau

Potential Opportunities

This application can be enhanced with the following:

• An internet connection to link the Tableau dashboard to an online Singapore map to classify disputes based on geographical location.

Project Member

Tan Min Xian, Krystal

Supervisor

Ms Ho Li Chin

Project Background

As a business owner or service provider, it is important to reach out to your target audience in the right way, and at the right time. Visitors to websites often reveal their preferences through the way they navigate a website. By capturing this information, you are able to customise your strategies to reach your target audience.

The MOE Kindergarten Dashboard helps the Ministry of Education (MOE) to identify the preferences of their target audience – parents with young children – through the way they navigate the MOE Kindergarten website. Using their navigation patterns, MOE is able to improve their website and customise their outreach programmes to suit these parents.

Key Benefits

• Efficient – The dashboard helps MOE to make targeted changes to their website and plan appropriate strategies for outreach programmes to cater to their target audience.

Key Technologies Used

• Google Analytics
• Tableau

Potential Opportunities

This application can be enhanced with the following:

• Tracking of information such as the time and day of the week where peak traffic to the website occurs.
• Utilisation of the dashboard to track other MOE or government websites.

Project Member

Sim Jia Wei, Jackson

Industry Partner

Ministry of Education

Supervisor

Mr Andrew Chong

Project Background

Are you keen on investing in property but would like to compare prices before making a decision? Would it help if you could automatically obtain all the information in a single spreadsheet for your review?

The Officee.jp Web Data Extractor is an automated web data collection solution which collects a large amount of web data within a short time. This solution was developed to build a database containing Japan’s Real Estate data, where it effortlessly collects all office property data records in a timely fashion every month. Taking less than half a day per execution, it translates the Japanese data records into English, and also transforms the largely unstructured data into a clean and usable spreadsheet. The project’s success is crucial to real estate investment, management and analysis.

Key Benefits

• Better asset management – Provides users with an easy way to gain insights and understanding towards a foreign property market.
• Efficient – Reduces actual human effort and labour as the programme performs the tedious data extraction

Key Technologies Used

• Python
• Selenium Web Driver

Potential Opportunities

This application can be enhanced with the following:

• A notification feature via email and SMS can be included to inform administrators of the completion of tasks.
• Artificial Intelligence could be included to support automatic and intelligent gathering of data.

Project Member

Chua Gim Aik

Supervisor

Ms Ho Li Chin