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Women motorcyclists may face challenges related to personal safety, road emergencies, and unexpected vehicle failures.Existing solutions often address rider safety, vehicle monitoring, and emergency assistance separately.This paper proposes SheTorque, an AI-integrated safety ecosystem and predictive maintenance platform designed specifically for women motorcyclists.The system consists of five modules: Guardian Eye, ECU Data-Bridge, Smart Bike Vitals, Emergency Response Hub, and HerRide Tribe.Guardian Eye uses computer vision and vehicle tracking to identify persistent following behaviour in Single Ride and Group Ride modes.The ECU Data-Bridge aims to retrieve supported vehicle diagnostic information and explain diagnostic trouble codes in simple language.Smart Bike Vitals estimates fuel range and maintenance requirements using motorcycle details, odometer readings, and service records.The Emergency Response Hub supports crash detection, gesture-based SOS activation, and emergency location sharing.HerRide Tribe provides safe-location mapping and connectivity among women riders.The proposed platform integrates artificial intelligence, sensor-based monitoring, predictive analytics, and location-aware services to improve rider awareness and support timely assistance.
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Tejas et al. (2026) studied this question.
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