This project shows how to create and construct a smart home model that incorporates sensors for temperature, humidity, air quality, rain, flame, and light, as well as IoT devices like ESP32 and ESP8266. With a Flask-based web application implemented with Gunicorn and Nginx, the system offers remote device control and real-time monitoring via a Raspberry Pi serving as the central server. The project places a strong emphasis on dynamic web interfaces for user interaction, reliable network connection over HTTP, and an alert system to inform users of important environmental changes. Offering a workable answer for contemporary life, this scalable smart home model improves convenience, safety, and energy efficiency by utilizing reasonably priced hardware and software.
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This project shows how to create and construct a smart home model that incorporates sensors for temperature, humidity, air quality, rain, flame, and light, as well as IoT devices like ESP32 and ESP8266. With a Flask-based web application implemented with Gunicorn and Nginx, the system offers remote device control and real-time monitoring via a Raspberry Pi serving as the central server. The project places a strong emphasis on dynamic web interfaces for user interaction, reliable network connection over HTTP, and an alert system to inform users of important environmental changes. Offering a workable answer for contemporary life, this scalable smart home model improves convenience, safety, and energy efficiency by utilizing reasonably priced hardware and software.
