I'm an enthusiastic machine learning student studying from Harvard University, with a strong interest in cybersecurity, Linux, and cross-platform app development. I'm constantly fascinated by the potential of machine learning to solve complex problems, and I'm passionate about building secure and accessible applications that work seamlessly across different platforms.
Down below are some of my skills
Down below are some of my projects
This project involves the creation of a food vision model using TensorFlow and EfficientNetB0 as the base model. The model is trained on the CIFAR-100 dataset, which contains 100 classes of images.
Learn MorePaper Trader is a fun and educational stock market simulator app that lets you practice trading in a safe, risk-free environment. Start with a virtual $10,000 (represented by points) and buy and sell virtual stocks to experience the thrill of the market without any real-world consequences.
Learn MoreThis is a Python-based scam mail detector that aims to identify fraudulent or suspicious emails. It utilizes various techniques and algorithms to analyze the content of emails and determine if they are potential scams.
Learn MoreFeel free to reach out to me via email or connect with me on social media using the links below.