AI-Driven Vehicle Tracking: Merging GPS, GSM, and Smart Technologies

This research focuses on AI-powered vehicle tracking, which improves real-time monitoring, predictive maintenance, and security. AI can analyze driving patterns, detect unauthorized access, predict vehicle issues, and suggest better routes. With the help of IoT sensors, the system also tracks fuel levels, engine health, and driver behavior, reducing unexpected breakdowns. Cloud-based storage and 5G connectivity ensure faster data transfer and remote access to vehicle information. The use of Artificial Intelligence (AI) in vehicle tracking has greatly improved how vehicles are monitored and managed. By combining GPS (Global Positioning System), GSM (Global System for Mobile Communications), IoT (Internet of Things), and cloud computing, AI helps create smarter, more efficient tracking systems. Traditional vehicle tracking depends on GPS for location detection and GSM for sending data, but these methods have limitations such as inaccurate tracking, security risks, and inefficient route planning. However, challenges such as data privacy issues, cybersecurity risks, and high implementation costs need to be solved for better adoption. This study highlights how AI, GPS, and GSM can work together to make vehicle tracking smarter, safer, and more reliable, leading to better transportation and fleet management