AI-Driven Intelligent Monitoring and Predictive Alert System for LPG Cylinder Lifecycle

Abstract - In this project, we present the design and development of a smart, IoT-enabled system for real-time monitoring of LPG cylinder weight and we target house logistic. The system is engineered to enhance safety, efficiency, and inventory management in LPG distribution networks. A load cell sensor is integrated to develop vehicle platform to continuously measure the weight of cylinder. The data is processed using a microcontroller, which calculates the remaining gas content based on calibrated thresholds. When the gas level in any cylinder drops below predefined limits (e.g., 50%, 25%), the system automatically transmits alerts to a connected mobile application via wireless communication. This ensures timely refilling, prevents unexpected depletion, and enables remote monitoring by suppliers or users. The mobile interface provides a user-friendly dashboard for real-time status updates, historical data logs, and predictive analytics. This innovation is particularly useful for commercial LPG delivery services, where efficient tracking of cylinder usage and proactive refilling are critical. The system is scalable, cost- effective, and adaptable to various types of gas cylinders and transport platforms.