Auto-shield: Iot based OBD Application for Car Health Monitoring

In the dynamic tech landscape IoT links devices for data-driven upheaval, ML enables predictive maintenance and Mobile Development offers accessible interfaces peculiarly in the automotive sector transforming data utilization. Modern vehicles with OBD-II ports procreate extensive real-time data concerning vehicle performance and diagnostics. However the efficient access, analysis and utilization of this data extant significant challenges. Autoshield: IOT based OBD Application for car health monitoring amasses real-time OBD-II data from the vehicle. By harnessing machine learning it empowers intelligent vehicle maintenance, proactively discerning potential issues and offering actionable recommendations.This application efficiently bridges the domains of IoT, mobile development and smart vehicle maintenance. This holistic approach optimizes vehicle ownership and ameliorates the user experience.In our research we acquire OBD-II data from vehicles adhering to standard OBD-II protocols and securely accumulate this real-time information in cloud-based repositories. To bolster up various automotive applications we employ machine learning techniques. Simultaneously we ameliorate the user experience with a fully refined mobile application. Additionally we rehabilitate driver behavior analysis through the utilization of advanced algorithms and we comprehensively scrutinize traffic condition data near fueling stations allowing for the refinement of reports with nuanced terminology.