This thesis documents the conception and implementation of NourishTrack, a nutrition and diet tracking online application that enables users to get automated and tailored meal recommendations. This application was developed leveraging state-of-the-art web technology such as React, TypeScript, Tailwind CSS, and Supabase, making it fully scalable, responsive, and user-friendly. It also incorporates an API from Spoonular to offer intelligent meal suggestions that are guided by users’ diet objectives, preferences, and nutritional requirements. This proposed work focuses on making the application fully accessible, accurate, and easy to use while overcoming challenges that come with using a nutrition diet tracking system. NourishTrack clearly highlights that an interactive user system pinpointed toward healthy eating and improvement in nutrition understanding is possible through a combination of AI technology and advanced web technology.