Awarded the Dell Technologies Academy Cloud Native Experience as part of my final year project. My team utilized computer vision and IoT to detect conflicts among elderly residents in shared flats, data will also be collected and saved on a dashboard for analysis. Its aim: prompt assistance during altercations and improving residential committee staff awareness.

As part of my module on object-oriented programming, my team and I developed an online booking system for our sponsor, Singapore Sport School. Subsequently selected by our sponsor to present our project to upper management.

Sponsored by the Health Promotion Board, this project aims at helping university students to quit vaping. Analysis techniques: VADER sentiment analysis, BERT topic modelling, statistical analysis and decision trees. Created a telebot as proof-of-concept.

As part of my module on geospatial analysis, my team and I used QGIS to analyze the catchment area of train stations in Singapore that are part of TEL Stage 4. Part of our analysis included examining the residential population that are within the respective catchment area.