This project presents an IoT-based smart kitchen system, integrating enhanced and automated safety measures to prevent accidents, ensure food quality, and improve overall kitchen efficiency through real-time monitoring and control.
This project develops an advanced IoT-based smart kitchen system aimed at enhancing safety and operational efficiency through automated monitoring and control mechanisms. The system employs an Arduino microcontroller to integrate and manage various components, including a DHT11 sensor for temperature measurement, a load cell for monitoring gas cylinder weight, a gas sensor to detect leaks, and a fire sensor to identify potential fire hazards. Additionally, a CPU fan is controlled based on temperature readings to maintain optimal conditions, while an LCD display provides real-time status updates and alerts to users. Data from these sensors is continuously transmitted to ThingSpeak, an IoT analytics platform, for real-time analysis and visualization. Should any safety issues arise, such as gas leaks or fire detection, the GSM module sends immediate text message alerts to the user, ensuring prompt response and intervention. This comprehensive system not only improves kitchen safety by providing automated hazard detection and response but also enhances operational efficiency through real-time monitoring and control, creating a safer and more efficient cooking environment.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hardware Requirements:
Software Requirements: