Third Year 2023

PlantSavvy

It is a mobile application which helps you identify and manage your plant collection. Whether you are a gardening enthusiast or just curious about the plants around you, this app provides the tools to explore, identify, and learn about plants. Machine Learning Model – The AI service uses a machine learning model that has been trained on a vast dataset of plant images. The model has learned to recognize different plant species and characteristics based on the input data.

Third Year 2023

Website users are not aware (or do not care) that the information displayed originates from a database. Users simply want to search, post, or order. Therefore, this term we were required to create an interactive web application to manage an inventory. We were required to use Typescript to create the MEAN Stack application to track and craft new items.

Second Year 2022

Breast Cancer Clinic

I created a create a web management system for a medical practice which receptionists could use to upload doctor and patient information. I implement PHP, MySQL and react from which I could validate, authenticate and upload information regarding the platform.

Second Year 2022

Big Bang

The world we live in today is a world of big data and people
have trouble finding meaningful patterns within the expanse of
information we mine, collect and store. Therefore, as a data
driven developer, I have taken over the role of implementing a
real-world data driven web application using a Solar System API.