Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{177854,
        author = {Ishika Dhande and Nawaz Khan and Piyush Ajabale and Pornima Kalambe and Jayant Rajurkar},
        title = {An Efficient And Scalable Approach For Personal Healthcare Assistance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1988-1991},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177854},
        abstract = {In today’s fast-paced digital world, there is a growing need for accessible, reliable, and scalable healthcare solutions. This research introduces an efficient and interactive personal healthcare assistant system that aims to assist users—primarily patients—in resolving health-related queries through a responsive application. The system integrates an chatbot capable of providing instant and relevant responses to users' medical questions based on predefined logic and health information. One of the distinctive features of this system is its provision for doctor consultations. Users can interact directly with registered medical professionals via the application, allowing for personalized medical advice and improved health management.  Access to the system is regulated through user authentication, ensuring privacy and data security. To maintain security and ensure controlled access, the system requires users to log in with valid credentials before using any services. The backend infrastructure is developed using APIs to enable smooth data flow between modules, ensuring a secure, efficient, and scalable solution. The user interface is designed for ease of use, prioritizing usability to ensure patients from diverse backgrounds can comfortably interact with the system. Overall, the proposed application enhances the accessibility of healthcare support, reduces the load on physical healthcare centers, and sets a foundation for future advancements in digital healthcare technologies.},
        keywords = {Virtual health assistant, Integrated APIs, Patient health monitoring, Health tips and guidelines, Bcryptjs,  MongoDB,  Multer.},
        month = {May},
        }