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

Md. Mehedi Hassan, Mahfuzulhoq Chowdhury
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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.
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Maverick:一个基于智能移动应用程序的自动化系统,用于解决发展中国家的粮食不安全问题,并确保对学校午餐供应的有效监控
为了消除孟加拉国等发展中国家农村地区的营养不良问题,孟加拉国政府启动了学校供餐方案作为一个试点项目。但是,该方案目前的运作结构没有提供各种营养食品,也没有可靠的监测系统。为了消除这些问题,本文提出了一个完整的解决方案,驻留在一个移动应用程序的学校供餐计划。本文提供了一个基于剩余预算、每天出勤率、营养和学生偏好的膳食生成系统。在上菜后,上菜过程首先通过面部识别识别上菜前在场的学生,然后通过食物识别识别是否上菜。评估结果验证了我们的食物识别模型达到了98%的准确率,近80%的用户对我们的学校供餐计划的android应用程序功能感到满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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