School of Infocomm (SOI)

Data Analytics on Accident Statistics to Improve Operational Safety

Main Aim of the Project: 

This project aims to find out the main causes of accidents and how to minimise the number of the occurrences across the United Kingdom. 

Prediction Model Solution: 

• For visualisation and predictive analysis purposes, data was analysed to identify trends and visualise on various charts and dashboards to gain insights on the accidents that occurred. 

• This project also aids in predicting the severity of future accidents and improve road safety with Supervised Machine Learning Algorithms performed on datasets collected and a Decision Tree Prediction Model to uncover significant causes of accidents.

• Data-driven suggestions were then proposed to boost road traffic safety.
   

Team Members: 
Nadya Allysha Zulkefli Kai Ling, Lee Bee Geok, Nurul Natasha Bte Mohamad Naim

Supervisor:
Ms Yong Yoke Fong

Data Analytics on Students' Feedback Survey and Performance

At present, data from feedback survey results as well as module results are manually managed, with staff spending long hours to consolidate and analyse them. 

Main Aim of the Project: 

• This project aims to develop a system which enables authorised staff to automate the process by allowing the results from modules and feedback surveys to be imported for analysis purposes.

• The system allows to imports student data to facilitate analysis.

• The consolidated results will, in turn, help improve the students' well-being.
   

Team Members: 
Loh Shi Hui Vanessa, Kok Wai Teng, Stephanie Leow Yu Hui, Kok Li Xian

Supervisor:
Mr Austin Chong

Effective Medical Stocking through Analytics

Partner Organisation: Ng Teng Fong General Hospital 

Main Aim of the Project: 

The project aims to reduce the man-hour spent on medicinal inventory management, reduce errors due to inaccurate setting of par level that can cause inventory shortage during critical times and reduce overstocking wastages for the staff in the different departments of a hospital. Staff workload can be reduced too. 

Final Solution: 

To do so, the following are performed and/or developed: 

• Analyse the past inventory trends using data analytics. 

• Forecast demand/predictive nature of drug usage. 

• Programme that is able to produce optimal par level numbers for a specific period based on input of the historical drug dispensing and usage data.
   

Team Members: 
Ng Min Yuan Jocelyn, Chevelle Tan Zi Ting, Yip Sheng Yue

Supervisor:
Mr Henry Leong

Car Value Data Analysis

Partner Organisation: Motorist PTE LTD 

Main Aim of the Project: 

This project aims to develop an application that can predict the future car value by entering certain information of a car. 

Expected Outcomes: 

• The app's data can aid the user in determining the vehicle's fair market value. 

• To aid in that, models are trained, followed by being employed to perform predictive future car value.

• The company may use the prediction to better advise customers on their vehicle's value. 

Team Members: 
Zheng Xiang Jun, Feng Zhi Xin

Supervisor:
Ms Jane Zhang

Data Analytics on Accident Statistics to Improve Operational Safety

Main Aim of the Project: 

Nearly 40,000 people lost their lives in car accidents in the United States every year.

• This project aims to help in reducing the number of deaths caused by car accidents through analysing different accident-related factors through charts, and hence to discover the existing accident patterns.

• Predictions are then made on accidents with major severity levels and its related factors to further avoid accidents under those conditions. Data cleansing was also done to ensure accuracy of the result. 
   

Team Members: 
Teo Jiaman, Soh Yanqing, Li Siying

Supervisor:
Mr. Florian Muljono

DataCo Supply Chain Data Analytics

DataCo Global needs help in their Business Decision Making. There is lack of useful reports to help the management team to identify the threats and opportunities in the company. There are no reports generated to help them understand the transactional data. 

It is very challenging for the management team to understand the downloaded data from the Excel file. 

Main Aim of the Project: 

The project aims to provide an analytic system that can read the data, interpret and derive useful information from the data, and provide insight about the company performances.

The system should generate useful and easy to read reports to help them make the right business decisions. 

Team Members: 
Ummi Haziyah Bte Mohamed Salim, Cheng Lai Yeng Iris, Emilyn Tin Ting Hui, Nadia Bte Haider

Supervisor:
Mr Peter Liew