The identification of antitumor Interleukin-2 (IL-2) inducing peptide via experimental procedure is time consuming and labour intensive process. Thus, the present study focuses on the development of a prediction method for IL-2 inducing peptides identification. Experimentally verified IL-2 inducing & MHC-II binding peptides has been retrieved from the IEDB database for the development of various machine learning models. We hope the developed methods could best serves the need of scientific community for improving the cancer immunotherapy process.