ENTRUST: A Charity Donation Application Using Concepts of AI / ML

Ayesha Urooj

Abstract: Poverty has worsened, so food inflation has increased, implying that millions of people do not have enough food to eat. The laborious process of managing food and distributing it to recipients, on the other hand, is difficult. Food banks now require a unified management platform that is both efficient and effective. Users can check web applications for their food, clothes, book, etc donations to be verified and processed. The existing procedure takes a long time and demands a lot of effort. There is an obvious need for a system that will allow easy and fast donations and distributions of food to the Ngo?s. The researchers of the study will address the problem by developing an online platform for food, clothes, and other goods management services using some AI/ML concepts that would help in the easy segregation of items and gives the organization easy access to the items requested. The project is designed to automate the management of food donors and NGOs. In this paper, we are going to describe a new E-service application. This application will use the concept of image processing at the donor?s end. This application follows the Convolutional Neural Network technique in developing the system. The implementation of the system will increase the operational efficiency of necessity reserves in providing food, clothes, books, etc to people who are in need.

Keywords: NGO, CNN-Convolutional Neural Network, Needy