With the rapid increase in motorcycle usage, two-wheeler-related road accidents have become a serious problem worldwide, especially in densely populated countries. Narrow roads and traffic congestion further increase the risk of accidents that can cause severe head-injuries that threaten life. Despite strict regulations mandating helmet usage and safe riding practices, many riders neglect safety norms, resulting in an increase in injury or fatality counts. To address this issue, a technologically advanced Smart Helmet System based on the Internet of Things (IoT), designed to enhance rider safety through real-time monitoring and alert mechanisms is presented in this paper. The proposed smart helmet integrates multiple features. The solution employs a combination of sensors and IoT modules to detect severe impacts (accident detection), identify vehicles in blind spots (blind spot monitoring), and transmit emergency alerts by SMS to the emergency contact given (via TTGO BOARD) with the help of GPS coordinates via GSM. Sensors such as the MPU6050 (accelerometer and gyroscope) to detect falls or impacts, ultrasonic sensors to monitor rear blind spots, and a GSM-GPS module to send the rider’s coordinates to emergency contacts in case of an accident has been used here. When a vehicle is detected in these zones, the system activates LED indicators and a vibration alert, thereby informing the rider of potential dangers during lane changes. The helmet is powered by a 12 V lithium polymer battery, supported by a recharge module for continuous operation. The system is designed to be lightweight and compatible with the other standard safety helmets present in the market, making it both practical and user-friendly. The system aims to reduce the emergency response time and improve preventive safety.