RentWheels Using AI

Abstract—The vehicle rental industry faces challenges in optimizing pricing strategies, ensuring user-friendly interfaces, and providing secure payment systems. This paper presents "RentWheels Using AI," an Android application that leverages Linear Regression for dynamic pricing, rule-based filtering for personalized vehicle recommendations, a modern user interface (UI) with glassmorphism and neumorphic design elements, and Razorpay integration for seamless payments and invoice generation. The system also incorporates location-based and weather-based recommendations to enhance user experience. We evaluate the system’s performance through user testing and pricing accuracy metrics, demonstrating its effectiveness in providing a scalable, user-centric solution for vehicle rentals. Our findings highlight the potential of machine learning and modern UI design in transforming the rental industry, with a 15% improvement in pricing accuracy and a 20% increase in user satisfaction compared to traditional static pricing models. Keywords—vehicle rental, dynamic pricing, Linear Regression, rule-based filtering, modern UI, Razorpay, glassmorphism, neumorphism