This chapter presents an overview of our research on the “Intelligent E-Parking Assistant.” In response to the burgeoning challenges of urban parking, our comprehensive system leverages image processing, database management, mobile application development, and predictive analytics. The architecture integrates Python, Firebase, and Java, with team members contributing to coding, UI design, integration, and documentation. Experimental results showcase high spot detection accuracy, efficient navigation, and optimized predictive analytics. The e-parking assistant stands out as a promising solution, mitigating urban congestion and enhancing the overall parking experience, marking a significant advancement in intelligent urban transportation systems.