Improving Workplace Safety With AI-Powered Predictive Analytics

Author:

Rathod Seema Babusing1ORCID,Mahajan Rupali A.2,Khadkikar Prajakta A.3,Vyawahare Harsha R.1ORCID,Patil Purushottam R.4

Affiliation:

1. Sipna College of Engineering and Technology, Amravati, India

2. Vishwakarma Institute of Information Technology, Pune, India

3. Pune Institute of Computer Technology, India

4. School of CSE, Sandip University, Nashik, India

Abstract

In today's technology-driven era, workplace safety remains a paramount global concern. To proactively prevent accidents, mitigate risks, and ensure employee well-being, this chapter introduces the research project 'AI-Driven Predictive Safety Analytics Enhancing Workplace Security'. This initiative leverages artificial intelligence (AI) and data analytics to transform occupational safety. By harnessing historical incident data, real-time monitoring, and advanced machine learning, it aims to create a predictive safety system that identifies and pre-empts potential hazards. Anticipated outcomes include a more secure work environment, reduced accidents, improved well-being, and enhanced efficiency. Empowering decision-makers with actionable insights, this approach enables data-driven, proactive choices, setting the stage for a safer workplace future through cutting-edge technology and data-driven insights.

Publisher

IGI Global

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