Sickle cell anemia is a genetic disorder that affects the generation of hemoglobin and functionalities of Red Blood Cells. The infected cells take the form of a sickle and affect the flow of the blood. This can cause damage to the Lungs, Liver, Heart, and Spleen. The probability of getting these complications among tribals of Tamil Nadu is 25%. The severity of the problems depends on the patient’s health condition and how well the treatment works. The study involves Convolutional Neural Networks (CNNs) which is a potential algorithm for analyzing complex data in a machine-learning-based detection system.r The objective of the project is to increase the speed and accuracy of diagnosis in tribal groups so that better disease management and prompt interventions are possible. The paper aims to improve the quality of life for sickle cell anemia patients, minimize severe health effects, and boost the early detection efforts by incorporating machine learning into the diagnostic process.