Event Hosted by SG Code Campus
My team and I presented to you the Combustifier app + developing apps
in Swift.
This app was made from scratch by us and shows off how Computer Vision can be used in real life.
An app/service that leverages AWS services to detect combustibility/flammability of objects with the help of trained ML models from AWS Rekognition
GithubKotlin + Jetpack Compose (Android App)
Self-learnt Kotlin, alongside with Jetpack Compose for the UI to create my first native Android app,
Combustifier.
Python (Data Science, Backend Development)
The programming language I have the most experience with, both in school and in my personal projects.
AWS Services
Used a number of AWS Services as part of my AWS Combustifier project, including EC2, S3, Rekognition and currently Lambda.
HTML + CSS
Developed fully interactive prototype websites and experimented with different libraries, including Bootstrap, Shopify's Liquid and Jinjja Templating
Part of the IMDA Data Science on AWS Accelerator Programme 2021
