Ai Based Safety Monitoring System For Mentally Exhausted Adult Women

Abstract

Creative Methods Will Need To Be Developed To Keep Women Who Are Mentally Fatigued Secure, Beyond Traditional Emergency Response Systems. Cognitive Fatigue Can Impair Judgment, Slow Reaction Time And Make It Difficult For A User To Manually Activate A Safety Alert, Making Traditional Methods Ineffective. Therefore, An AI Safety Monitoring System Has Been Developed To Operate Continually Behind The Scenes While Integrating Geospatial Intelligence With Behavior Analysis. This System Will Allow For A Continual Monitoring Of Individuals Via Their Real-time Location, Use Of Geo-fencing Technology To Create Secure Zones And Will Use Movement Pattern Analysis To Identify When Individuals Have Moved Outside Of Their Established Safe Zone And/or Exhibit Any Unusual Trends (movement Patterns) That Deviate From Their Established Behavior. Every Situation Is Categorized As Either "Safe", "Attention" Or "High Risk," Allowing For Proactive Intervention Prior To An Incident Occurring. When An Individual Finds Themselves In A High-risk Situation, The Application Will Independently Send Out Alerts And Provide The Current Location Of That Individual To The Assigning Guardians Without Relying Upon The User To Provide Input. In Addition To Providing Notifications After An Incident Occurs, The Predictive Model Of The Solution Will Enable It To Evaluate Time, Space, And Behavior In Order To Assess Imminent Threats. This Will Provide Personal Safety With A Systems-based, Adaptive Approach. Ultimately The Proposed Approach Will Include Context Awareness, Constant Surveillance, And Automatic Decision Making To Provide A Robust Support System For At-risk Individuals. The Proposed Solution Represents Acompletely New Paradigm In Personal Safety By Leveraging Artificial Intelligence, Behavioral Analytics, And Geolocation Technologies.Because The Framework Can Be Tailored To Each Person's Unique Behavioral Patterns, It Increases Trust And Dependability While Maintaining Autonomy. This Study Highlights How Intelligent, Automated Monitoring Systems Might Transform Personal Safety Paradigms By Providing Proactive, Scalable Methods For Reducing Hazards Related To Situational Vulnerability And Mental Fatigue.

Keywords