Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47522
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper presents how FitMind was developed by developers, a web-based fitness application for its users that offers mood-based workout suggestions. As opposed to fitness apps that provide just generic workout plans, FitMind adapts to the user’s own emotional state, and it suggests fitness routines personalized for their mood on a daily basis. The app seeks to combine fitness along with mental well-being when designers consider emotional factors for creating workout plans. This paper outlines the development process, with the technical architecture and user experience. The paper does also discuss some challenges faced and future directions that improve the app. Emotional intelligence may be used to create a fitness experience that is more personalized.
KEYWORDS
Publication Date
10/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...