Gas leaks offer severe safety hazards, frequently resulting in catastrophic incidents including explosions, fires, and poisonous gas exposure. The need to address these threats has prompted advances in detection and preventive systems. This review article looks at recent advances in gas leak detection technologies, emphasizing their potential to improve safety and operational dependability. Traditional methods, such as manual alarm systems and GSM-based alerts, are contrasted to novel technologies that use enhanced sensing and localized response mechanisms. The paper fits into the rising demand for effective gas leak prevention as industries rely more on flammable gases. It covers current approaches, their limitations, and the crucial need for innovations that enable speedier detection and automated reactions. Technical difficulties are thoroughly examined, including scalability limitations, sensor errors, and integration problems with current safety systems. The function of microcontrollers, actuators, and improved gas sensors in guaranteeing real-time leak detection and prompt localized actions, including alarm activation and automatic gas supply shut-off, are among the major innovations covered. The potential of emerging technologies, such AI-driven analytics and predictive modelling, to transform leak detection by providing early alerts and enhancing decision-making is highlighted. This analysis also looks at how these technologies can help address issues including manual reaction delays, false positives from faulty sensors, and the absence of international safety standards. The study ends by demonstrating these methods as workable answers to current problems and by pointing out directions for further development, such as increased sensor sensitivity, machine learning uses, and the creation of international safety standards to strengthen gas leak prevention systems.