Project Abstract

This paper details the development of a web application that generated personalised fitness programs, addressing the growing demand for health and well-being solutions tailored to individual needs. Unlike existing applications, the solution incorporates both physical and mental health exercises based on user responses to questions about fitness goals, workout frequency, and specific needs, such as disabilities or injuries.This project aimed to deliver an application that is not only personalised but also intuitive and accessible across any operating system, enhancing user engagement. The approach took inspiration from the Bat Algorithm, to match exercises to user preferences accurately, ensuring the most effective and enjoyable workout routine.The project provided a holistic fitness strategy that equally prioritised mental and physical health which made it very effective. This approach not only enhances the overall quality of life for users but also promotes a broader understanding of the importance of mental well-being in physical fitness regimes.By being innovative in the integration of mental health exercises inside a physical training program along with the assurance that disabled and injured individuals can perform it, the project challenged traditional fitness paradigms and paved the way for a more inclusive and comprehensive approach to personal well-being.

Keywords: Fitness, Web Development, Full Stack

 Conference Details

Session: Poster Session A at Poster Stand 40

Location: Sir Stanley Clarke Auditorium at Tuesday 7th 13:30 – 17:00

Markers: Casey Hopkins, Giedre Sabaliauskaite

Course: BSc Computer Science FI, 3rd Year

Future Plans: I have a job lined-up