πŸ“ž +91-7667918914 | βœ‰οΈ ijarcce@gmail.com
International Journal of Advanced Research in Computer and Communication Engineering
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 15, ISSUE 4, APRIL 2026

Healthcare Android Predictor

Ashwini Vatne, Pallavi Shrimangle, Dipali Lahane, Prof. D. S. Jaybhay

πŸ‘ 11 viewsπŸ“₯ 1 download
Share: 𝕏 f in ✈ βœ‰
Abstract: This project is an intelligent healthcare app for Android that makes medical services easier to use, more efficient, and more engaging for users. The app uses machine learning, location services, and AI-driven chatbots to offer smart and easy healthcare support. One of its main features is the ability to predict diseases based on the symptoms users enter. A machine learning model looks at the information provided and gives possible health issues, helping users get a better understanding of their condition before seeing a doctor. To make the app more useful and easier to use, it has an AI-powered chatbot that gives quick health advice, supports voice communication, and can interact in Hindi for better reach. The location feature lets users find nearby doctors and hospitals, using data from registered medical professionals who can add and update their service locations in the system.The app has two user types: patients and doctors. Patients can sign up, create profiles, and use features like symptom-based disease prediction, chatbot help, and finding nearby healthcare services. Doctors can log in, update their profiles, and list their available services and locations. The system focuses on keeping data safe and offers real-time help, automatic health insights, and easy access to medical resources.

Keywords: Artificial Intelligence Healthcare App, Machine learning Disease Prediction, Ai Chatbot, Voice and Hindi Language Support, Location Based Doctor Finder, Patient and Doctor Management System, Real-time Healthcare Assistant.

How to Cite:

[1] Ashwini Vatne, Pallavi Shrimangle, Dipali Lahane, Prof. D. S. Jaybhay, β€œHealthcare Android Predictor,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.154177

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.