CNG – GPS Tracking and Booking using AI
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. IndexTerms - Image Processing, Text Overlay, Dynamic Video Creation, OpenCV, Video Animation, Digital Content Creation, Python Programming, Visual Effects, Generative Adversarial Networks (GANs), Long Short-Term Memory (LSTM) Networks, Multimedia Content Generation, Video Synthesis Natural Language Processing (NLP).
Authors
- Shivam Swami
Publication Details
- Journal
- International Scientific Journal of Engineering and Management
- Published
- 2025-05-07
- DOI
- https://doi.org/10.55041/isjem03389
- Primary Topic
- Inertial Sensor and Navigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00