International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

CNG – GPS Tracking and Booking using AI

Author(s) Mr. Shivam Santosh Swami, Kirti Khare, Supriya Raut, Pooja Hnmane, Prof. S.D.Pandhare
Country India
Abstract This project introduces a CNG GPS Tracking and Booking System powered by Artificial Intelligence (AI), designed to minimize waiting times and enhance the efficiency of the CNG refueling process. The system offers a web-based platform where users can conveniently book CNG refueling appointments in advance, thereby reducing idle time and improving overall user experience. By integrating AI, GPS technology, and real-time data analytics, users can easily locate nearby CNG stations, check fuel availability, reserve time slots, and receive timely notifications.
Additionally, pump owners benefit from an intuitive admin dashboard, enabling them to manage resources, monitor refueling operations, and optimize service delivery through AI-driven insights. This solution modernizes the traditional CNG refueling system by introducing predictive analytics and automation, significantly streamlining operations and reducing congestion at refueling stations.
Keywords A web-based CNG GPS tracking and booking system powered by AI, offering real-time fuel availability, intelligent scheduling, predictive analytics, and admin resource management to optimize refueling operations and enhance user experience.
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-30
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.43301
Short DOI https://doi.org/g9g78t

Share this