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AI-Driven Predictive Safety Analytics: Enhancing Workplace Security
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Author(s): Seema Babusing Rathod (Independent Researcher, India), Harsha H. Vyawahare (Sipna College of Engineering and Technology, Amravati, India)and Rupali Mahajan (VIIT, Pune, India)
Copyright: 2024
Pages: 20
Source title:
Impact of AI on Advancing Women's Safety
Source Author(s)/Editor(s): Sivaram Ponnusamy (Sandip University, Nashik, India), Vibha Bora (G. H. Raisoni College of Engineering, Nagpur, India), Prema M. Daigavane (G. H. Raisoni College of Engineering, Nagpur, India)and Sampada S. Wazalwar (G. H. Raisoni College of Engineering, Nagpur, India)
DOI: 10.4018/979-8-3693-2679-4.ch004
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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 abstract 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.
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