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Author(s):

T.Gopikaa | D.Deepthika Devi | A.Kayalvizhi
Keywords:
Abstract:
Rising Concerns Over Women's Safety Necessitate Advanced Protective Technologies. This Project Introduces A Next-generation, Autonomous Safety Device For Proactive Threat Detection And Response. Its Core Innovation Is A Dual-mode Stress Detection Engine, Integrating Physiological Sensor Data With A Machine Learning Model That Analyzes Vocal Patterns To Accurately Identify Distress. The Device Operates On An AI-driven, Automatic-alert System And Includes An Optional Manual Trigger. Upon Detecting A Threat, A Built-in Communication Module Transmits Distress Signals With Precise GPS Coordinates, Functioning Independently Of Any Smartphone. An Integrated Camera Captures The Surroundings, And A High-intensity Buzzer Activates To Deter Assailants. Critically, The System Is Designed To Be Proactive, Sending Alerts Even If The User Is Incapacitated, Providing A Dependable And Life-saving Tool For Personal Security.