Title: Maverick: a smart mobile application-based automated system to combat food insecurity and ensure efficient monitoring for the school mid day meal feeding in developing countries

Authors: Md. Mehedi Hassan; Mahfuzulhoq Chowdhury

Addresses: Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong-4349, Bangladesh ' Computer Science and Engineering Department, Chittagong University of Engineering and Technology, Chittagong-4349, Bangladesh

Abstract: To eradicate malnutrition problem in rural areas of developing countries like Bangladesh, the Government of Bangladesh started school feeding programme as a pilot project. But the current operational structure of the programme does not provide varying nutritious foods and has no reliable monitoring system. To eradicate the problems, this paper proposes a complete solution residing in a mobile application for school feeding programme. This paper provides a meal generation system based on remaining budget, attendance on each day, nutrition, and students' preference. After serving the selected meal, the meal serving process is monitored by first recognising students who were present before serving the meal through face recognition and then recognising if the selected meal was served through food recognition. The evaluation result verifies that our food recognition model achieves up to 98% precision and almost 80% of users are satisfied with our android application features for the school feeding programme.

Keywords: school mid day meal program; food menu planning; automation; monitoring; machine learning; mobile application.

DOI: 10.1504/IJSSS.2023.132697

International Journal of Society Systems Science, 2023 Vol.14 No.3, pp.222 - 246

Received: 22 Sep 2022
Accepted: 13 Feb 2023
Published online: 08 Aug 2023 *