Abstract:
Food is getting wasted from due to overproduction fast food restaurants all over the
world. In a developing country like Sri Lanka it is higher due to lack of technology in
the restaurant domain. Best way to overcome this problem is to notify restaurant
managers on quantities and items to produce. Existing solutions are mainly focused
on customer satisfaction and fewer solutions were focused on minimizing food
wastage due to overproduction. There were no forecasting solutions in Sri Lanka to
overcome this problem. Therefore, the aim of this project was to research and
implement a system which will help restaurant managers to get insights about the
amount of food items that has to be produced in order to minimize food
overproduction in their restaurants. To accomplish this aim, datasets were collected
from 3 different branches in a same restaurant to train the model. Weka forecasting is
used and to model it SMOreg regression algorithm in Weka was used. Overall
Accuracy of 83.39% was able to achieve with this system.
