SMART VEHICLE RENTAL SYSTEM

Abstract

The Smart Vehicle Rental System is a web-based platform designed to optimize vehicle rental operations while ensuring security and trust. Developed using Django, it features manual driving license verification, AI chatbot assistance, and a genuinity check mechanism based on user reviews. The platform operates on a request-based booking model, where vehicle owners can accept or reject rental requests based on user ratings, reducing the risk of fraud. Payments are flexible, supporting both online transactions and cash on delivery, depending on the rental company's preference. Unlike traditional rental services, this system enhances security by restricting direct communication between users and owners before booking approval. Additionally, an AI-powered chatbot provides real-time customer support. The system also enforces strict security measures, including phone number verification, review-based trust checks, admin-approved user registration. A comparative analysis with existing platforms highlights the system’s advantages in security, fraud prevention, and automation. Future enhancements include AI-driven fraud detection, automated license verification, multilingual chatbot support, and an intelligent vehicle recommendation system. This research paper presents a comprehensive study of the system's architecture, functionalities, security mechanisms, and technological advantages, demonstrating its potential to revolutionize vehicle rental services through advanced automation and trust-based verification.