AI-based Sustainable Vehicle Monitoring System for Existing Internal Combustion Vehicles

Abstract

The transportation industry is a major contributor to carbon� emissions, with internal combustion engines responsible for over� 25% of the total. Despite advances and regulations encouraging the� shift to electric vehicles, the transition from diesel engines remains� slow, as expected. Many countries have heavily relied on diesel� engines, which makes the switch to electric vehicles more difficult� due to the higher costs of buying and replacing internal combustion� engines with electric ones. Therefore, this report suggests a� solution: retrofitting existing ICE vehicles with AI-powered� sustainable vehicle monitoring systems. This upgrade involves� installing sensors that work with OBD-II diagnostics to monitor� emissions, fuel use, and driving habits in real time. Gathering this� data aims to develop personalized, eco-friendly driving� recommendations that help reduce overall emissions. This method� provides a cost-effective, sustainable, and environmentally friendly� alternative to high carbon emissions. It is also scalable, even in� regions with limited financial resources.