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AI-Based Personal Health & Lifestyle Assistant

Author

Listed:
  • Ashwini Mulik

    (Department of Information Technology Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts, Sion, Mumbai)

  • Sujal Anil Mohite

    (Department of Information Technology Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts, Sion, Mumbai)

  • Yash Mohan Jadhav

    (Department of Information Technology Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts, Sion, Mumbai)

  • Chinmay Santosh Shinde

    (Department of Information Technology Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts, Sion, Mumbai)

  • Chandan Durgaram Malviya

    (Department of Information Technology Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts, Sion, Mumbai)

Abstract

This paper presents the design and development of an AI-Based Personal Health & Lifestyle Assistant system that helps users manage their health in a smarter and easier way. The system combines different features such as disease prediction, chatbot support, hospital search, and diet planning into one platform. The disease prediction module uses machine learning to analyze user symptoms and suggest possible health conditions. A chatbot is included to answer health-related questions and guide users. The hospital locator helps users find nearby medical facilities using location services, and the diet planner provides personalized meal suggestions based on user needs. The system is built as a web-based application for easy access and smooth user interaction. Testing results show good accuracy in disease prediction and effective chatbot responses, along with positive user feedback. Overall, the system helps users take better care of their health by providing early guidance, useful suggestions, and easy access to healthcare information.

Suggested Citation

  • Ashwini Mulik & Sujal Anil Mohite & Yash Mohan Jadhav & Chinmay Santosh Shinde & Chandan Durgaram Malviya, 2026. "AI-Based Personal Health & Lifestyle Assistant," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 11(3), pages 715-720, March.
    • Handle: RePEc:bjf:journl:v:11:y:2026:i:3:p:715-720
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