-74813b3e17f460286df1f5 20220611015647640 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 07 30 2022 11 8 Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka), India. Mrs. Priya N G Sai Mani Kumar Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka), India. B Aravind Kumar Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka), India. M Vinay Kumar Reddy Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka), India. B Sree Harsha Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka), India. It is known fact that accidents are the major problem that is occurring now a days. Wearing helmets is one of the mandatory rule made by the government. Even after implementing these rules some of the bike riders are avoiding it. Because of this reason, we are seeing the increase of accidents. Also, due to slow reach of treatment accidents occurring at small areas are becoming fatal. current project looks to solve these problems. In this project a message will be sent to the rider that to wear the helmet, triple riding, signal jump, overspeed and also sends a message if driver isn’t in active mode. These accidents leads to significant amount of death and disability. In India, Avoiding traffic rules like triple riding, signal jump, overspeed are causing major accidents. All the systems focus on changes occur in movement of vechicles, and sends a message if the rider avoids any of the mentioned traffic rules, which have been already explained in the literature survey. 07 30 2022 1 4 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9996.0711822 https://www.ijitee.org/portfolio-item/g99960611722/ Assistant Professor, Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka) India. Mrs. Sony Kuriakose G Krishna Teja Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka) India. A Harshel Srivatsava Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka) India. Sravan Duggi Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka) India. Department of Information Science and Engineering, New Horizon College of Engineering, Bangalore (Karnataka) India. Venkat Jonnalagadda Passwords, as the most used method of authentication because to its ease of implementation, allow attackers to get access to the accounts owned by others by means of cracking passwords. This is cause of the similar patterns that users use to create a password, like dictionary words, common phrases, person and location names, keyboard pattern, and so on. Multiple password cracking techniques had been introduced to predict the password offline or online, with the majority of records say the one with weak password or familiar password patterns being cracked. This suggested prototype implements numerous machine learning methods such as Decision Tree (DT), Nave Bayes (NB), Logistic Regression (LR), and Random Forest (RF) on a web application in real time to force users to choose a secure password. This results in the user's account being logged into if particularly the password strength from more than half of the algorithms is strong. 07 30 2022 5 9 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H9119.0711822 https://www.ijitee.org/portfolio-item/h91190711822/