Abstract: The IoT-Based Alcohol and Drowsiness Detection System project aims to enhance safety in transportation and workplaces by leveraging IoT technology. By integrating sensors with IoT platforms, the system detects alcohol impairment and drowsiness in real-time. Utilizing machine learning algorithms, it provides timely alerts to users. Targeting private vehicle owners, fleet operators, and industries, the project emphasizes safety and compliance. Key objectives include algorithm development, sensor integration, and deployment. By preventing accidents caused by impairment or fatigue, the project promotes safety and responsibility, reducing liabilities and fostering well-being in diverse settings.

Keywords: IOT, Alcohol, Drowsines

| DOI: 10.17148/IARJSET.2024.11421