Project Abstract

The Health and Fitness Tracker web application is a unique effort that aims to deliver a new digital platform for health and wellness monitoring. The application helps users to set and track fitness goals, track exercises, check dietary habits, and get personalized recommendations. Participants get practical experience converting theoretical knowledge into real-world applications by using Python and frameworks such as Flask or Django for frontend and backend programming, respectively.Goal tracking, workout cutting, nutrition tracking, and personalized recommendations are among the key elements, all of which adapt to specific user needs and progress. However, mHealth, sweat, and home workout apps have significant limitations, like accuracy problems issues with privacy, and engagement challenges. To get around these limits, I aim to use methods that improve accuracy, promote user engagement, personalize content, manage access difficulties, balance technology and human interaction, and increase feature scope. By implementing these ideas, I hope to create more effective tools for users that improve their health and well-being, which will lead to the growth of digital health solutions.

Keywords: Health Tracking, Nutrition Tracking, Mental Health, Personalized Recommendation

 Conference Details

Session: Presentation Stream 31 at Presentation Slot 7

Location: GH018 at Wednesday 8th 13:30 – 17:00

Markers: Gregory Cheng, Ehinafa Akinola (GTA)

Course: MSc Advanced Computer Science, Masters PG

Future Plans: I’m looking for work