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Multifunctional Web Platform for p2p Car Rental System Using AI Elements

Student: Gavrilova Polina

Supervisor: Nadejda Konstantinovna Trubochkina

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2024

The purpose of the work is to organize the sharing of cars between individuals. To achieve this, the Driveshare web-based P2P car rental platform has been developed, which simplifies the car rental process by allowing users to safely and conveniently find, book and rent vehicles directly from the owners. Driveshare combines the benefits of a peer-to-peer economy with the convenience of an online platform, allowing users to not only save on rental fees, but also share their own cars, earning additional income. This concept ensures safe and secure transactions between users, offering owners and renters the opportunity for mutually beneficial cooperation and reducing costs for both parties. Artificial intelligence models in Driveshare automate car search and offer processes, taking into account user preferences and vehicle parameters. The recommendation system allows selecting the most relevant ads for renters based on their preferences and feedback from other users. This improves user experience and helps reduce the time spent on finding the right vehicle. Driveshare has the potential to become a sought-after car rental service due to its state-of-the-art sharing concept, innovative approach to implementing artificial intelligence and user-friendly interface.

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