Road safety is a major global problem, with alcoholimpaired and drowsy driving significantly contributing to traffic accidents and fatalities. This paper proposes a solarpowered, AI-integrated smart vehicle system designed to detect alcohol consumption, driver drowsiness, and potential accidents in real-time, utilizing an alcohol sensor, Arduino microcontroller, GPS, GSM modules, engine locking mechanism, and wearable biosensors. Leveraging solar energy ensures sustainable and continuous system operation, enhancing the ecofriendliness of the vehicle. Furthermore, artificial intelligence algorithms analyze sensor data to provide predictive safety interventions. Recent advancements in intelligent driver health monitoring, accident detection, and vehicle tracking are discussed. The review identifies major challenges and proposes feasible, futuristic solutions towards creating a sustainable, AI-supported vehicular ecosystem.