Machine learning is being used in drug discovery to screen small molecules against biological targets with the help of algorithms and computing power. The use of Support Vector Machines (SVMs) and Deep Neural Networks has played a crucial role in identifying relevant materials and discovering new drugs. However, the high com-putational cost of these algorithms is a major challenge, as they require large platforms that can be expensive.