Proj S28 – SCDF_DA Tool

A scalable, data-driven solution that fits SCDF’s dynamic needs

A machine-learning-powered system designed to display customised dashboards and draw insights into individuals’ physiological fitness profiles at the Civil Defence Academy, Singapore Civil Defence Force (SCDF).

Introducing Proj S28 – SCDF_DA Tool

A machine-learning-powered system designed to draw insights into individuals’ fitness profiles at the Civil Defence Academy, SCDF. Our team offers a unique identification system along with data integration tools, predictive models and interactive dashboards whilst ensuring seamless integration with SCDF’s existing systems for a scalable solution to enhance training efficiency.

Team members

Ng Han Yit Ryan (CSD), Shjonathan Tan Tze Ern (CSD), Beckham Wee Yu Zheng (CSD), Yeong Kai Xuan (ESD), Doni Kurniawanto (ESD), Fernanda Fadja (CSD), Ng Junhao Marcus (CSD)

Instructors:

Oka Kurniawan
Sun Zhu

Writing Instructors:

Belinda Seet

Our client:

Our team collaborates with the EXCEL FitLab, SCDF’s state-of-the-art training facility, to harness cutting-edge technology and scientific methodologies in enhancing the physical performance of emergency responders. By analysing individual performance data, we aim to derive key insights into trainees’ physiological fitness and work with HTX to derive new insights.

Project Roadmap

Discover

Our considerations:

1) Structure of Data

Unique ID has a high collision rate (Low robustness)
Not a One-to-One relationship

2) Technical Background Considerations

Solution needs to be designed for users from all backgrounds
Client's requirements are still evolving
Solution to be adaptable and sustainable

3) User Interface (UIUX)

Not intuitive
Unable to perform certain comparisons
Contains inaccuracies
Difficult or costly to modify

Define

With these key considerations in mind....

Our problem statement:

How can we use Data Analytics to increase the physical performance of CDA Trainees, in a dynamic and future proof manner?

The team will look towards delivering a user-friendly app to cater to the needs of an audience with varying levels of technical knowledge. This approach emphasizes ease of navigation and operation, allowing for efficient use without requiring advanced technical skills.

Our Solution:

Our problem statement:

How can we use Data Analytics to increase the physical performance of CDA Trainees, in a dynamic and future proof manner?

Our proposed deliverables:

A all-in-one app, delivering multiple functions such as:

Data merging
Barcode generation
Unique Identification generation
Template files uploading
Feature Importance ranking with Machine Learning
Together with PowerBI dashboards

We deliver Dynamic insights Data handling ML-powered feature rankings with a secure, future-proof approach

Click on each icon to discover more!

The data pipeline:

Next, check out our dashboards...

"Great visualizations! Really useful comparisons for the officers here" - Company mentor

Playlist

1 Videos

Final Project Video

150

In partnership with :

Supported by :

Acknowledgements

Team S28 SCDF_DA Tool would like to thank our Capstone instructors: Professor Oka Kurniawan, Professor Sun Zhu & Ms. Belinda Seet for their valuable advice, which was pivotal to the team’s success.

We would also like to express our gratitude to LTC Lee Soon Huat and MAJ V. Nisha from the Responder Performance Centre, Civil Defence Academy, SCDF, as well as the HTX Human Factors team, for their invaluable guidance and support in fine-tuning our model and application.

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