Food Demand Prediction Using Deep Learning

• Author(s): Vikash Kumar ; Vishal Vijay Krit Kumar
• Paper ID: 1704240
• Page: 77-81
• Published Date: 10-04-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 10 April-2023

Abstract

The population in various part of the world are growing with high rate which results high demand of food but the availability of food is not sufficient or overstocked to fulfill the requirements. This problem leads to unbalanced production of food but one of the major problem arises in demand of food requirements that is the major threat to merchants. By early detection of these food demand requirements can help suppliers to prevent the food wastage and also prevent their financial losses. In this project, we train a Deep Learning model to forecast different food demand requirements that are affecting suppliers adversely. Organization will be able to detect these food requirements at early stage of production and can take various measures to prevent the losses. We have used datasets of 4,56,548 rows and various features of different demand categories. Our model achieves an accuracy of 94.36% upon training these datasets. We have used the web application which will predict the demand of particular product in various areas.

Citations

IRE Journals:
Vikash Kumar , Vishal Vijay Krit Kumar "Food Demand Prediction Using Deep Learning" Iconic Research And Engineering Journals Volume 6 Issue 10 2023 Page 77-81

IEEE:
Vikash Kumar , Vishal Vijay Krit Kumar "Food Demand Prediction Using Deep Learning" Iconic Research And Engineering Journals, 6(10)