Data Analytics software implementation for Accident Risk Factors based on IoT

The project, titled “Data analytics software implementation for accident risk factors based on IoT,” would use data from India's road transport ministry to analyze and understand the factors contributing to car accidents based on multiple criteria such as weather, vehicle type, age group, and route type. Our observations and conclusions are to provide suggestions to the government to utilize funds better. Statistical Analysis of Accident Risk Factors for Optimal Solutions would improve the understanding of causes, consequences, etc., of road accidents among the general public. This work project used as a teaching tool for students data analytics software r programming used. Students without engineering backgrounds would be able to visualize the data better with the use of our graphs. Avoiding road accidents is needed by analyzing the various problems like driver distractions, crossing the streetlight, and reducing accidents by using IoT. Policymakers can use our research to allocate funds in a better way to prevent road accidents. This project could work as a template for future projects, research work, and policy briefs.