The problem MultiSpeciality App solves

During this pandemic situation people are not able to visit the hospitals and they are unable to do their general checkups like scans.
Hence many people are not able to get their medical treatment.
Overcrowding in hospitals for people who just need normal checkups.

Through the implementation of our project the above problems can be solved.

CNNs are neural networks with a specific architecture that have been shown to be very powerful in areas such as image recognition and classification . CNNs have been demonstrated to identify faces, objects, and traffic signs better than humans and therefore can be found in robots and self-driving cars.

"thus we are making use of cnn to detect skin cancer and predict it's accuracy and suggest better advices"

Challenges we ran into

1. It was difficult to train the model as we had less computation power on our desktop pc. Remote working was a bit difficult as we had to face a down in network connectivity.
2. Since we assume ourselves to be good in programming, we didnot find much difficulty in developing our application.
3. We had a plan of hosting our application in PythonAnyWhere but due to lack of time we couldnot do it.