aspg-25-1047-1791492795 20261008205315 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2022 2 2 Rupesh Chaudhari Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India Ritik Gad Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India Pranav Gawali Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India Mangesh Gite Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India A. B. Pawa Computer Engineering, Sanjivani College of Engineering, Kopargoan, Savitribai Phule Pune University, India There is an enormous growth of social media which fully promotes freedom of expression through its anonymity feature. Freedom of expression is a human right but hate speech towards a person or group based on race, caste, religion, ethnic or national origin, sex, disability, gender identity, etc. is an abuse of this sovereignty. It seriously promotes violence or hate crimes and creates an imbalance in society by damaging peace, credibility, and human rights, etc. To overcome this problem, the hate speech detection model is made which will classify the speech and if the speech used by user is containing hate word, it will be detected and system will sent an alert message to user about it. In order to solve various hate speech problems we use some of the machine learning algorithms such as logistic regression and random forest. If user disrupts cyber guidelines, then strict action shall be taken and user’s account will be ban forever. This help to reduce cyber crimes in effective and efficient manner. 2022 56 59 1047 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.020203 https://www.americaspg.com/journal/25/article/1047 https://www.americaspg.com/storage/21772851674.pdf