Food Temperature Analysis and Forecasting

Abstract

Our work delves into the analysis of temperature time-series data, deployment of forecasting models, and their effectiveness in predicting food temperature based on historical data. The temperature of several food items recorded over a period of three months has been utilized for this purpose. Multiple Machine Learning models and their effectiveness in predicting food temperature have been analyzed. The results of these findings are discussed herein during the conclusion.