Identifying Hazards and Assessing Risks in Automobile and Construction Sectors Using Machine Learning

In this modern world, risk plays a major role in every human being and risk aversion leads to a better life. In the same way, every field has its difficulties as well as ways to overcome them. Moreover, vagueness, uncertainty, and subjectivity are the main causes that makes the risk mitigation more difficult. The cause of these risks, leads the country to suffer in an environmental, economic and social manner. These risks many a times leads the whole world into crisis in many ways. Therefore, Risk assessment is the process of discovering the dangers present in the working site. It analyzes and evaluates the risk connected with the hazard in three steps: Identification, Risk analysis, and risk evaluation. In many fields, risks are very common that lead people to danger.

The Construction industry has been categorized as on the most hazardous industry globally due to its accidents and lack of safety measures & precautions. Every developing country has more urban space, increased infrastructure creates more job opportunities for the workers. Infrastructure development induces faster economic growth and mitigation of poverty. Excavating the site, construction of multi-storeyed buildings and steel erection are the most common high-risk activities. Many fatalities have been recorded during the past decades and there are no safety precautions found in the developing country.

Automobile usage is growing rapidly namely autonomous surface marine, aerial drones, and automobiles. Energy consumption is the most important factor in the vehicular system that grows/affects the economy. The consumption of energy affects the environment and leads to energy crisis. The car emits carbon-based compounds and volatile gas after consuming energy. Thus, the electric vehicle came into existence and it is growing rapidly. But, the supply chain creates the risks due to huge links and systems.