Disease Prediction using Django and Machine Learning

Abstract: This research focuses on developing a web-based Disease Prediction System using Machine Learning (ML) and the Django framework. The primary objective of the system is to predict possible diseases based on the symptoms entered by the user and to recommend suitable medications and precautionary measures. Machine learning algorithms are trained on a comprehensive medical dataset containing symptoms, diseases, and their interrelationships to ensure accurate predictions. The integration of Django enables a dynamic and interactive web interface that allows users to easily input their symptoms and obtain real-time predictions. The proposed model aims to assist both patients and healthcare professionals by enabling early disease identification, enhancing clinical decision-making, and minimizing the chances of human error in manual diagnosis. Overall, this system provides an intelligent, efficient, and user-friendly approach to disease prediction and preventive healthcare.

Keywords: Disease Prediction, Django Framework, Machine Learning, Healthcare System, Web Application.