International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The rapid advancement of information technology has led to the integration of intelligent systems into various domains, especially healthcare. With the growing population and increasing number of patients, the demand for quick, accurate, and affordable medical diagnosis has become more critical than ever. Traditional medical diagnosis methods rely heavily on human expertise, which may be time-consuming and prone to errors due to fatigue and workload. To overcome these limitations, the implementation of machine learning and artificial intelligence in medical diagnosis has gained significant attention in recent years.[1]
The proposed project focuses on building a software-based intelligent disease prediction system that helps users identify possible diseases based on their symptoms. The system uses machine learning algorithms to analyze symptom input and generate accurate predictions. This approach provides users with fast preliminary health analysis, allowing them to take timely medical action. In rural and remote areas where access to healthcare professionals is limited, such systems play a crucial role in providing early medical guidance.

Downloads: | DOI: 10.17148/IJARCCE.2026.15158