Road accidents have become increasingly frequent worldwide with the rising number of motorcycles on the road. These accidents often lead to severe injuries or fatalities, especially when riders neglect safety measures such as wearing helmets or when riding under the influence of alcohol. To address these concerns, a smart helmet system is proposed to enhance rider safety and minimize accident risks. The design employs two Arduino UNO R3 microcontrollers to manage system operations. An MQ-3 gas sensor is integrated to detect alcohol consumption, disabling the system if alcohol is present. Additionally, infrared (IR) obstacle detection sensors are utilized for helmet-wear verification and drowsiness monitoring. The vehicle ignition is enabled only when the rider is sober and the helmet is worn, with an ignition relay controlling the ON/OFF state. The MPU-6050 which is a 6-axis motion-tracking sensor works a charm for detection of crash or accidents while driving. A threshold angle of 60 degree has been set in the IDE code for detection of accidents. A buzzer provides real-time alerts during drowsiness or safety violations, immediately warning the rider to prevent potential accidents. To extend functionality, a companion IoT-based mobile application is developed for signaling and responding to helmet outputs. This ensures user-friendly operation while enhancing emergency response. The proposed system offers an affordable, multi-functional solution that promotes safer journeys and timely assistance during emergencies.