Road fatalities in the present era are increasing at an alarming rate. As per the World Health Organization (WHO) report (2021), deaths from road traffic crashes have increased to 1.35 million a year which implies that on average about 3700 people die on the world’s roads everyday (World Health Organization, Global Safety Report on Road Safety [1]). Statistics show that developing countries have 90% of the casualties are from these countries and 11% alone from India. So, data- driven initiatives to safeguard our roads should be taken to minimize accidents. One of the methods is the identification of blackspot sections on the roads and ranking them. Applying cost-effective methods in road safety is also a major challenge that is being faced by various developing countries. Suitable tools like International Road Assessment Programme (iRAP) can be used to analyze the road sections and in identification of the root cause of the problem and implementation of suitable countermeasures. Case studies have shown that applying newer technologies in doing road safety audits has given new insights and better solutions as discussing iRAP, which is an open-source software used for the rating and analysis of sections. Attributes are filled for every 100 m of section for analysis of 1 chainage length, i.e. 1 km of road. In this study 30 hotspot locations are identified, and their star ratings are generated using the ViDA tool.