More cars on the road mean more accidents happening every day, which is a big decisions important concern. To make smart about traffic safety, it's for the transportation department to be able to predict how many accidents might happen. By analyzing past accidents, we can understand why they occur and find ways to prevent them. Even though accidents can be unpredictable, there are patterns we can learn from over time. We looked at how accidents, road conditions, and the environment are connected. Using techniques like data mining, we created models to predict accidents using information from road accident data in Bangalore from 2014 to 2017. These models can help government departments, construction companies, and car manufacturers design safer roads and vehicles based on the predictions we make. By analyzing data from Bangalore road accidents between 2014 and 2017, we used advanced techniques algorithm, Machines like data mining, KNN and Support Vector to develop prediction models. These models can be beneficial for various stakeholders, such as government agencies responsible for road infrastructure, contractors involved in construction projects, and automobile industries. By leveraging these insights, stakeholders can proactively design safer roads and vehicles, ultimately reducing the number of accidents and enhancing overall road safety. 203