Treffer: Blood Donar Availability Recommendation System by Using Python and Machine Learning

Healthcare relies on blood being available to treat and save people needing medical care. This workintroduces a method for recommending suitable times and locations for blood donations based on predictions. Machine learning helps the system use details from the past, donor choices and other factors to give particular recommendations to users. With the help of prediction and suggestion tools, the system studies donors’ actions, picks out preferred donation periods and takes into account the time between donations along with frequency. Because of this method, organising blood donation events becomes moremanageable and also allows for a smoother, more personal experience for everyone.