COME: Collection Organizing Managing Evaluating the Projects using Machine Learning with Procrastination Index

Full Stack development is a pace growing branch in computer science because of its successive step towards making the long run in IT Industry. Another side Machine learning is a branch of AI which has enormous application in real time. Our Proposed work COME combines Full Stack and Machine Learning algorithms in order to organize, manage and evaluate the projects. By using Full stack projects can be organized and managed in database and by using KNN and Decision Tree Regression procrastination index will be calculated in order to indicate delay or time line. With these we are achieving Mean Square Error(MSE) 0.01.