Scholarlink

Accessibility barriers in healthcare communication significantly affect patient care, particularly in areas such as virtual consultations, wellness management, and health tracking. Smiles4Health is a Python-based mHealth application that provides a seamless platform for virtual health consultations, personalized wellness plans, and real-time health tracking. By leveraging advanced algorithms and user-centric design, the app ensures intuitive usability and accurate health insights. This paper delves into the development process, technology stack, and potential future enhancements of the application. It also highlights how Smiles4Health addresses the growing demand for accessible, context-aware, and efficient healthcare management solutions.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integrating Machine Learning and Cloud Technologies for Accessible Mobile Healthcare Solutions

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • R. Roja,
  • M. Dhanalakshmi,
  • N. Shashank,
  • B. Saaish,
  • B. M. Saikrishna,
  • N. Deepika Singh

摘要

Accessibility barriers in healthcare communication significantly affect patient care, particularly in areas such as virtual consultations, wellness management, and health tracking. Smiles4Health is a Python-based mHealth application that provides a seamless platform for virtual health consultations, personalized wellness plans, and real-time health tracking. By leveraging advanced algorithms and user-centric design, the app ensures intuitive usability and accurate health insights. This paper delves into the development process, technology stack, and potential future enhancements of the application. It also highlights how Smiles4Health addresses the growing demand for accessible, context-aware, and efficient healthcare management solutions.