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Original Article

An AI-Assisted web-application for personalized mental well-being and balanced diet

  • Paper ID 403
  • Volume 6, Issue 5
  • Pages 206-209
  • Published Online: September-October 2026
Open Access Peer Reviewed Crossref DOI

Authors

  • Dr. Hemashree H C1
  • Manoj G S2
  • Ningaraj Rajakumar Tenihalli3
  • Muhammad Gouse4
  • Renusagar L R5

1 Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India. 2 3 4 5 Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India.

Article Information

Published Online
September-October 2026
Pages
206-209
Article Type
Original Article
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Abstract

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Digital wellness tools can help people record personal health information and access resources for mental well-being and healthy eating. However, these functions are often presented separately. This paper describes Mind Mate, an interactive web application that combines mood and journal tracking, stress-related assessment, diet information, meditation resources, yoga guidance, and wellness record management. Users can enter mood and selected health information, explore wellness resources, and review previously stored records. The system uses a web interface and an SQLite database, as described in the project report. Functional test cases are reported for registration, login, data entry, recommendations, progress tracking, and feedback. These checks indicate that the tested features operated as expected in the reported project environment. They do not establish clinical effectiveness, diagnostic accuracy, or improvements in user health. Mind Mate is intended as a personal wellness support application and does not replace professional medical or psychological care.

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  • CrossRef DOI
  • ISSN 2583-1240
  • Open Access
  • Peer Reviewed
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