IOT Based Smart Interactive Refrigerator Using Machine Learning

The Internet of Things (IoT) has revolutionized the concept of home automation, with smart appliances playing a crucial role in enhancing user convenience. This project presents the design and development of an IoT-based smart interactive refrigerator integrated with machine learning capabilities. The system enables real-time monitoring of temperature, humidity, and stored items using IoT sensors. Through machine learning algorithms, the refrigerator can identify food items, track their quantity, predict spoilage, and provide personalized suggestions such as grocery reminders and recipe recommendations. The interactive interface allows users to access the refrigerator data remotely via a mobile application, ensuring efficient inventory management and reduced food wastage. This intelligent solution demonstrates how IoT and machine learning can be combined to create a sustainable, user-friendly, and energy-efficient smart home appliance.