The problem Detecting Microbes in Blood using Image Processing solves

The recent covid-19 pandemic has highlighted the week links in our medical system. Most areas were unable to manage the spread of the pandemic properly primarily due to High poverty levels, Lack of access to proper healthcare, Political instability and Presence of disease transmission vectors.
Also, the current infrastructure and practices we have in place to detect a disease like malaria is not accurate, slow and difficult to manage.. The most widely used method (so far) is examining thin blood smears under a microscope, and visually searching for infected cells. The patients’ blood is smeared on a glass slide and stained with contrasting agents to better identify infected parasites in their red blood cells. Making it basically a hit and trial model.

Challenges we ran into

Acquiring Suitable Data Set
Training The AI
Making the system Accurate