VISTA is a comprehensive home rental booking system application built using NextJS, Supabase, Prisma, Kinde, ShadcnUI, and TailwindCSS. This application aims to streamline the process of booking rental homes by providing a user-friendly interface and robust backend.

Blendr is a cutting-edge social network web application designed to bring people together through the joy of image sharing. Developed using a modern tech stack, including TypeScript, ReactJS, Appwrite, Shadcn, Tailwind CSS, and React Query, Blendr offers users an exceptional platform to connect, express their creativity, and interact with like-minded individuals in a visually captivating way. Key Features: Image Upload and Sharing, Feed and Timeline, Engaging Interactions, User Profiles, Discover and Explore, Security and Privacy, Mobile Responsive. If you wish to test the application without signing-up or logging in, here are the credentials to use: email: janedoe@gmail.com // password: janedoe123.

Cryptocurrencies have become a focal point of interest for investors and enthusiasts worldwide. Predicting their volatile prices is a challenge that can be addressed through machine learning. As part of my MSc in Advanced Computing at King's College London, I embarked on a research journey to develop a real-time and user-inputted cryptocurrency price prediction system using the Naive Bayes algorithm. This project is linked to a research study written for my thesis where further comparison with other machine learning models is performed to assess prediction performance.