AI-Driven Symptom Analysis and Disease Prediction Assistant for Healthcare

Abstract

The use of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing the healthcare domain, particularly in enhancing diagnostic processes. This paper introduces a smart assistant that employs AI and ML to interact with patients, collecting symptom data, past medical records, and image inputs. It then analyzes this information to predict possible diseases and recommend preliminary remedies. The outcomes are forwarded to healthcare professionals for final assessment, thereby reducing workload and improving efficiency. The system aims to enhance early diagnosis, ensure timely interventions, and support medical experts with advanced data-driven insights—all while keeping the human expert as the final authority.