Designing an automatic workplace recommendation system for garment workers using fog computing

Arunavo Dey, Md Nahid Newaz
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Abstract

Garments industry is one of the biggest industries of Bangladesh and a large portion of our population comprises of garments workers who face several problems starting from health and financial problems, discrimination, safety issues and lack of skill development opportunities – which make them more vulnerable and obstruct them from finding a better tomorrow. A country can’t march forward with a large portion of it leaving behind and thus we target to improve their conditions by designing an intervention which propels to achieve the target by maintaining a predictive model which predicts on the data collected from the users. It suggests the users who are garment workers, about the available and better opportunities for workspace in the easiest way.
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利用雾计算设计服装工人自动推荐工作场所系统
服装工业是孟加拉国最大的工业之一,我国人口的很大一部分由服装工人组成,他们面临着健康和财政问题、歧视、安全问题和缺乏技能发展机会等几个问题,这些问题使他们更加脆弱,阻碍他们找到更美好的明天。一个国家不可能在很大程度上落后,因此我们的目标是通过设计一种干预措施来改善他们的状况,这种干预措施通过维护一个预测模型来预测从用户收集的数据,从而推动实现目标。它建议服装工人的用户以最简单的方式了解可用的和更好的工作空间机会。
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