An AI Smart Refrigerator: Enhancing Food Management with Computer Vision, Sensor, IoT, and Automated Temperature Control

With the rapid advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart home appliances are transforming everyday life. This paper presents a modern intelligent refrigerator equipped with a sensor camera, barcode scanner, and automated temperature control to enhance food management efficiency. The system uses computer vision and machine learning algorithms to recognize stored items, track inventory via a mobile app, and predict expiry dates by scanning barcodes. Additionally, the refrigerator optimizes food preservation by dynamically adjusting its internal temperature based on the type of stored items. The proposed solution aims to reduce food wastage, improve user convenience, and enhance energy efficiency. The integration of IoT enables real-time monitoring and alerts, ensuring users are informed about expiring products and optimal storage conditions. This paper discusses the system architecture, key technologies, implementation methodology, and potential challenges, offering insights into the future of AI- powered kitchen automation.