Affiliation:
1. Independent Researcher, India
2. Sipna College of Engineering and Technology, Amravati, India
3. VIIT, Pune, 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 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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