Sk. AnjaneyuluBabu1 , M.V.S Nagarjuna Raju 2 03 06 With the rapid growth of online video platforms spam comments on videosharing websites have become a major concern Spam comments often contain advertisements malicious links or irrelevant content that can affect user experience and platform credibility This project proposes a machine learningbased system to automatically classify and detect spam comments on YouTube The system analyzes comment text using natural language processing NLP techniques and applies machine learning algorithms to classify comments as spam or nonspam By training the model with labeled datasets the system can identify patterns commonly found in spam messages The proposed solution helps improve content quality enhances user interaction and reduces manual moderation efforts Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026