The problem MediScan solves

It solves the problem of the delay between accidents and treatments.

Challenges we ran into

In Ml part we just got stuck in overfitting again and again, and finally reached the accuracy of 85+ but also it contains some biased in it, then after some preprocessing we somehow get a good response, but in future, if a dataset will increase then accuracy will be quite good and I think there will be no biased in the model also.

The second problem was to identify the person. We initially began with the union of fingerprints, retina scan and face recognition. But the problem was with a restriction on this information from android. So we finally chose QR code solution,
which can easily be placed over cars, bikes, wallets, cards and etc. It will provide the quickest way to identify the person and hence to inform hospitals and family members.