AlphaTitan AlphaTitan - An Advanced Multi-Tasking Autonomous AI Assistant for Real-Time Environment Monitoring and Safe

Authors

  • Muhammad Kamran Quaid e Awam University of Engineering Science & Technology Nawabshah
  • Shahzaib Quaid e Awam University of Engineering Science & Technology Nawabshah
  • Abida Mughal Quaid e Awam University Nawabshah
  • Bisma Malik Quaid e Awam University of Engineering Science & Technology Nawabshah
  • Prof. Dr. M.Saleem Vighio Quaid e Awam University of Engineering Science & Technology Nawabshah
  • Naeem Ahmed Ghouri Quaid e Awam University of Engineering Science & Technology Nawabshah

Keywords:

Gas Leaks, Fire Detection, Sensors, Internet of Things

Abstract

In today’s world, in terms of industrialization, ensuring safety against potential hazards like gas leaks and fire outbreaks is critical. As a safety measure, this study implements "AlphaTitan," an intelligent, real-time hazard detection system developed to provide accurate detection and timely alerts for enhanced safety in industrial, residential, and public environments to prevent disasters. This system uses sensors that can detect and identify the harmful gases and potential fire hazards, which are the main causes of industrial accidents and health risks in today’s world. After detecting any hazard de, this system instantly triggers alerts, locates the hazard’s real-time location, and also alerts the owner or emergency department by sending the real-time notifications via social media communications systems, like WhatsApp. In addition to this, our system also captures images and records videos of fire hazards. By integrating advanced sensor-based detection technology with IOT devices, Our System “AlphaTitan” provides a reliable, scalable, and affordable solution for safety management, decreasing risks.

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Published

2025-05-09

How to Cite

Muhammad Kamran, Shahzaib, Abida Mughal, Bisma Malik, Prof. Dr. M.Saleem Vighio, & Naeem Ahmed Ghouri. (2025). AlphaTitan AlphaTitan - An Advanced Multi-Tasking Autonomous AI Assistant for Real-Time Environment Monitoring and Safe. International Journal of Innovations in Science & Technology, 7(6), 33–43. Retrieved from https://journal.50sea.com/index.php/IJIST/article/view/1288

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