IoT-based Cat Feeding Donation System with Forecasting Technique Implementation

Animal welfare, particularly the management of stray cats, presents a significant opportunity for technological intervention. This paper details the development of an IoT-based cat feeding system that facilitates remote feeding via a web application and engages users through live video streaming. This approach overcomes traditional barriers such as physical presence and time constraints. Additionally, the system employs time-series forecasting techniques, including ARIMA, to predict user donation behaviors and optimize resource allocation. The findings show that ARIMA excels at making short-term predictions to be used in the web application.