UPDF AI

Python-Based Intelligent System for Dynamic Energy Distribution

D. U.,D. Kumar,,D. K

2026 · DOI: 10.55041/ijcope.v2i5.432
0 Citations

TLDR

Overall, the project enhances transparency, automation, and operational efficiency, offering a scalable and practical solution for intelligent, on-demand energy supply management.

Abstract

A Python-Based Control System for On-Demand Energy Supply is an advanced web-based platform designed to modernize and streamline the traditional fuel distribution process. It enables users to request fuel delivery directly to their location through an intuitive online interface, addressing real-world challenges such as vehicle breakdowns, long queues at fuel stations, emergency requirements, and limited access in remote areas. By eliminating the dependency on physical visits to fuel stations, the system improves convenience and reduces time consumption.

The platform provides dedicated dashboards for fuel stations to efficiently manage fuel inventory, process customer requests, assign delivery personnel, and monitor transaction records. Delivery employees receive tasks digitally and update the delivery status in real time, ensuring accountability and smooth operations. An administrative module oversees the entire system by managing users, fuel stations, transactions, and feedback while maintaining security and system integrity.

Developed using modern technologies such as HTML, CSS, JavaScript for the frontend, and Python with the Flask framework for the backend, along with MySQL for database management, the system ensures secure authentication, role-based access control, and reliable data handling. Overall, the project enhances transparency, automation, and operational efficiency, offering a scalable and practical solution for intelligent, on-demand energy supply management.