AI-Driven Disease Insights-Doctor Referral and Appointment Utility

Abstract: Many deadly diseases are preventable and curable if addressed early. However, because the early signs of an illness are mild, people often overlook them. As a result, it is always recommended to get a regular body check-up in order to avoid future health difficulties. Early illness prediction has become the most critical work, and accurate disease prediction is the most difficult task. We presented a web application to help people detect diseases based on their symptoms. There are numerous applications for online consultations with doctors, however there are less applications for prediction of the disease. There are systems that can only predict one health problems. however our approach can predict forty-one common diseases. For projections, we require symptom data. Using the Kaggle platform's disease symptom dataset, we discover a massive quantity of information to analyze in our system to ensure correct prediction. The system uses random forest, decision tree, and knn algorithms to identify diseases. After predicting disease, the system will offer a list of specialists who are experts in that particular condition. Patients can schedule an appointment with the doctors at their desired time and day. Patients can also communicate with a doctorto receive consultations.