
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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CNG – GPS Tracking and Booking using AI
Author(s) | Mr. Shivam Santosh Swami, Kirti Khare, Supriya Raut, Pooja Hnmane, Prof. S.D.Pandhare |
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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 |
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E-ISSN 2582-2160

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