Published Paper Details:

The intelligent monitoring system and smart assistant using IoT technology and built on the Raspberry Pi 3 Model B+ have been designed and implemented as part of this project. The primary differentiating factor of the proposed system is its ability to monitor the health of the users and detect hazards (such as smoke and gas) in the environment and report while having the ability to avoid obstacles and process images using a camera at the same time. The system is made up of several sensors connected to the embedded computing platform to facilitate the collection of data and the ability to process this data in real time and make decisions. The system can be fully programmed in Python, and because this system is designed to be monitored in real time, the embedded platform is connected to the internet, and a monitoring dashboard is created using the Flask web framework. The dashboard enables the monitoring and control of the other sensors in the system. The system employs a multi-threading architecture to process multiple sensors simultaneously. The system also contains other ready-made systems, such as optical character recognition (OCR), along with voice commands and AI (for user commands) to improve user and system interaction. An emergency situation is defined as the presence of an uncontrolled fire, gas leak, abnormal human activity, or environmental danger. An alarm system such as a buzzer, along with an email notification, can be activated to alert other systems to take control of the situation. The created platform illustrates an affordable, scalable, and intelligent solution that integrates embedded systems, IoT, computer vision, and automation. Experimental data indicate that the system provides reliable, real-time formation of alerts in response to awareness and environment monitoring. Applications of the proposed system include smart home technologies, monitoring of the elderly and health, surveillance systems, assistive devices, research labs, and industrial safety technology.