My Data Science Projects
Listed below are some of the data science projects I have personally worked on.
Face Mask Detection with Convolution Neural Network
In this project, I developed a deep learning model using Convolutional Neural Networks (CNN) to detect the presence of face masks in real-time. Leveraging a dataset of labeled images, I trained the model to classify whether individuals are wearing masks or not, achieving high accuracy in detection. This project showcases the power of CNNs in image classification tasks, and its practical application in enhancing public safety measures during the pandemic. The model is designed for scalability and can be deployed in real-world environments such as surveillance systems to promote compliance with mask mandates.
MSleep Analysis Using R
In this project, I have demonstrated my understanding of Tidyverse in R with one of the inbuilt datasets, the mSleep dataset. A few visualisations were plotted using the gglot package.
