Interactive learning adventures: Learn coding through gamification

• Main Author: Ong, Zhan Wen
• Format: Final Year Project / Dissertation / Thesis
• Published: 2024
• Subjects: T Technology (General)
• Online Access: http://eprints.utar.edu.my/6993/1/fyp_CS_2024_OZW.pdf; http://eprints.utar.edu.my/6993/

This project focuses on developing a semi-automated smart refrigerator system designed to enhance food management and user convenience. The system targets a wide audience, including homemakers, professional chefs, elderly individuals, and casual refrigerator users, by addressing key issues such as manual item input, food overstocking, and the lack of real-time refrigerator status transparency. This project has integrated computer vision, deep learning, and IoT technologies to automate the detection of food items inside the refrigerator, using a Raspberry Pi and a webcam to simulate a smart environment. Users will be able to access real-time information about the contents of their fridge, receive reminders about food expiry, and manage their inventory through an intuitive platform. This development will be of particular interest to technology enthusiasts, IoT developers, and manufacturers looking to innovate in the smart home appliance market. Additionally, it serves as a valuable simulation model for testing new concepts in smart refrigerator design, with a focus on reducing food waste, improving convenience, and enhancing sustainability practices.