+HealthFreak: AI-Powered Medical Voice Agent with Smart Health Tracking

Prof. Manjusha V. KhondAssistant Professor, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, IndiaProf. Sonali VidhateAssistant Professor, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, IndiaKaustubh AwarePG Student, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, IndiaAditya DivePG Student, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, IndiaAditya GorePG Student, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, IndiaHarshal GosaviPG Student, Department of MCA, MET’s Institute of Engineering, Nashik, Maharashtra, India

Vol 9 No 11 (2025): Volume 9, Issue 11, November 2025 | Pages: 61-64

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-11-2025

doi Logo doi.org/10.47001/IRJIET/2025.911006

Abstract

HealthFreak is an intelligent AI-powered healthcare assistant designed to enhance patient accessibility, medical guidance, and emergency responsiveness. The system integrates real-time voice communication, health tracking, emergency alerts, and AI-driven medical assistance within a unified web platform. Using Speech-to-Text (AssemblyAI) and the Gemini API, it enables natural medical conversations with instant AI responses. The platform further includes a Google Fit–based Health Tracker, SOS emergency module, Nearby Hospital locator, and Symptom Checker chatbot. This research demonstrates how artificial intelligence and web technologies can revolutionize healthcare interaction and improve accessibility, accuracy, and responsiveness.

Keywords

AI, Healthcare, Voice Assistant, Speech Recognition, Google Fit, Emergency Response, Symptom Checker, Web Application


Citation of this Article

Prof. Manjusha V. Khond, Prof. Sonali Vidhate, Kaustubh Aware, Aditya Dive, Aditya Gore, & Harshal Gosavi. (2025). +HealthFreak: AI-Powered Medical Voice Agent with Smart Health Tracking. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(11), 61-64. Article DOI https://doi.org/10.47001/IRJIET/2025.911006

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