Traditional disease identification have often relied on subjective analysis, leading to potential inaccuracies and delays in treatment. A revolutionary new approach is emerging, one that leverages the power of machine learning to revolutionize how we identify diseases. This novel method utilizes vast information repositories to train algorithms cap