Blood donation sessions have limits of how many people will be able to attend a session. Bookings for sessions often don’t convert into actual donations due to cancellations, non-attendance and medical rejections. These missed collections represent a lost opportunity to successfully bring someone in to donate.
The aim of this project is to:
- Develop a Machine Learning-based predictive tool to assess, of the current bookings made for a session, what proportion of these are likely to take place, and if there is room for additional capacity
- Build a web based app that demonstrates the above and allows users to review current available capacity at each session