Health Diagnostic Using Machine Learning

Health diagnostics using machine learning has emerged as a traditional approach for improving patient health care and early disease detection based on their symptoms. This paper presents the development of a machine learning algorithms to generate result for diseases, personalized fitness and diet recommendations by making the models. This system integrates a chatbot to assist and provide health-related queries to the user.. Additionally, an online medical store is attached, allowing users to search for medicines, categorize diseases, and provide secure transactions through online or cash-on-delivery payment options. This system also features an appointment booking interface, enabling users to schedule consultations with doctors based on specialization, experience, and with their geographic location. Location-based appointment scheduling are limited to select cities, ensuring targeted healthcare delivery. The system's architecture includes real-time data processing, accurate results, secure payment gateways and a streamlined user interface for enhanced accessibility and efficiency. The proposed solution aims to improve health awareness in local as well as state to ,encourage early diagnosis, and provide a seamless user experience through a unified platform. Keywords: Machine learning algorithms, Chatbot assistant, medical store, appointment booking, personalized diet plans, secure payment, geographical location-based services