Abstract: Abstract: Artificial intelligence (AI) has been widely used in many sectors like Agriculture and Farming, Autonomous Flying, Security and Surveillance, Clinical Medicine etc, and one such important sector is healthcare where there is a tremendous increase in innovations in the fields of AI.Medical facilities need to be really advanced so that better decisions can be made for patient diagnosis and treatment options. Machine learning in healthcare helps humans to process huge and complex medical datasets and then analyse them into clinical insights. This can be later used by the physicians in providing suitable medical care. Hence machine learning and artificial intelligence when implemented in healthcare can lead to increased patient satisfaction. Disease Prediction using AI is the system that is used to predict the diseases from the symptoms which are given by the patients or any user. The system then processes the symptoms provided by the user be it image or details as an input and gives the required output depending upon the probability of the disease. With an increase in biomedical and healthcare data, accurate analysis of medical data benefits early disease detection and patient care. By using this, we are predicting diseases like Diabetes, Malaria, Heart disease and many more. Keywords: Artificial intelligence, machine learning, deep learning, disease prediction, healthcare