D-Eazy Donation Platform – An Artificial Intelligence and Video based Mobile Application

About 9.2% of the world, or 689 million people, live in extreme Poverty according to the World Bank. The social agencies or trusts are limited in their capability and coverage to help these underprivileged people for food and main essentials. This paper focuses on the solution which enables mass Donors to seamlessly connect to recipients or Point-of-Contacts (PoCs) for easily donating food and essentials to underprivileged people while sitting at their homes/places. The solution introduces a Video-based Mobile App Platform that can be used by Donors anytime from anywhere to post and schedule their donations. Recipients directly or through agencies/organizations' PoCs are notified of the scheduled donations and pick-up/drop can be arranged internally or through 3rd party pick-up agencies. One of the other key features is SOS (emergency alert). If any poor person or family needs urgent help in terms of expensive medicines, blood, etc., this platform can be used by recipient PoCs to trigger SOS which will be received by all the people registered to this platform and hence can offer help immediately. The Application platform is designed and developed with frontend user interface in React Native/JavaScript and backend server in Python/Django. The application offers AI based Donation Prediction Engine (AIDPE) for adaptive video upload/upload processing and efficient PoC allocation based on multiple factors.