Authors Nelson B. AtongDepartment of Computer Science and Technology, Visayas State University, PhilippinesLatrisha S. CardinasDepartment of Computer Science and Technology, Visayas State University, PhilippinesLea Jane M. MalificiadoDepartment of Computer Science and Technology, Visayas State University, Philippines Abstract Due to the rapid increase in vehicle density in major cities, especially during peak hours of the day, finding parking spaces for your vehicles, especially for cars that are mainly used as family vehicles, is becoming increasingly difficult. As the world population continues to grow, time is becoming scarce. Therefore, avoiding traffic in busy places that causes unwanted congestion. The system we propose in this research does not only focus on finding parking spaces for cars, but is designed as a parking management system to manage various aspects of parking such as accident detection to avoid congestion in the parking lot and automated identity detection using facial recognition to facilitate parking safety protocols. The goal of this research is to develop a software solution that provides a completely safe and automated experience to drivers in a parking lot. Keywords CNN YOLO Image Processing SMPT Server Machine Learning Neural Networks Citation of this Article Nelson B. Atong, Latrisha S. Cardinas, & Lea Jane M. Malificiado. (2024). Vehicle Detection and Parking Slot Prediction Using ANN Algorithm and Machine Learning. International Current Journal of Engineering and Science - ICJES, 3(11), 34-39. Article DOI: https://doi.org/10.47001/ICJES/2024.311006 Licence Copyright (c) 2026 International Current Journal of Engineering and Science. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence. References