The aim of this project is to develop an RFID, alcohol detector, helmet sensor, and GPS-based system that promotes safe driving practices and reduces the number of accidents on the road. The system uses RFID technology to detect and identify the driver’s license and validate the driver’s credentials before allowing the vehicle to be started. Additionally, the system incorporates an alcohol sensor in the helmet that detects the alcohol level of the driver. It prevents the vehicle from starting until the alcohol level is below 50mg/dl. Furthermore, the system is enhanced with a helmet sensor that detects whether the driver is wearing a helmet or not. It prevents the vehicle from starting until a helmet is put on. Additionally, the system is equipped with a GPS module that tracks the location of the two-wheeler in case it is lost or stolen. By promoting compliance with safety regulations and ensuring that only authorized individuals with a valid license, safe alcohol levels, and wearing helmets can operate the vehicle, this system has the potential to significantly reduce the number of accidents caused by drunk driving and the failure to wear helmets. The proposed system consists of an RFID reader that is installed in the vehicle and an RFID tag that is attached to the driver’s license. The RFID reader detects and identifies the driver’s license, and the system only allows the vehicle to be started if the driver has a valid license. The RFID tag contains information such as the driver’s name, age, and license number, which is validated against a database to ensure that the driver meets the necessary requirements to operate the vehicle.