Deep learning has been popularly used for medical imaging. We aim to explore the applicability of Convolutional Neural Networks for the analysis of Alzheimer's Disease. Alzheimer's Disease is a neurological disorder that causes dementia which includes memory loss, thinking disorder or behavioral disorder. However, timely and efficient diagnosis is significant to encounter the disease growth, help in managing symptoms in a more effective manner, make it easier for the patients to obtain medicinal advise and support, and hence can help reduce the health care expenses. Since, Alzheimer's progression occurs over a large time span. Taking this parameter of time into serious consideration and analyzing the time data can improve the prediction system of the disease. The main objective, however is to predict the development of AD in a patient after a certain period of time.