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AI-Enhanced Wearable Technologies Revolutionizing Women`s Safety with Real-Time Monitoring


Said Shubhangi Khandu, Sivaram Ponnusamy
Pages: 75-88
ISBN: 978-93-5834-410-3


Recent Research Trends in Computer Science (Volume -4)

Recent Research Trends in Computer Science
(Volume - 4)

Abstract

The increasing geographic concerns about women’s safety call for innovative solutions for real-time protection and engagement. This project is "integrating AI-enhanced wearable technologies to connect real-time women through advanced behavior analysis, anomaly detection techniques, and brain-computer interface integration" leveraging the power of artificial intelligence (AI) and wearable technology to make robust and answer Security systems. The proposed solution combines advanced behavioral analysis, anomaly detection techniques, and brain-computer interface (BCI) in AI-enhanced wearables to enable continuous monitoring and immediate response on potential threats and collect case data and then process this data using AI sophisticated models in order to identify behaviors and identify abnormalities indicative of danger. Our system is capable of Real-time data transmission and analysis ensures that any deviation from normal behaviour triggers immediate alerts that intervene in a timely manner. The approach calls for wearable device models with high data collection and improved detection accuracy through machine learning and deep learning techniques through rigorous testing and validation processes show significant performance improvements in response time and reliability compared to existing solutions. Not only does this work help improve women’s safety, it also paves the way for future AI-powered wearable technology.

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