Disease Diagnoser

Inspiration

Web Link: https://health-insu.onrender.com/ Inspired to better diagnose and help doctor all over world specifically doctors in developing countries treat patient faster we built a Deep Learning Model to detect Malaria and Eye disease given an image of blood cell sample or retina's image.

What it does

How I built it

The Model is built by using state of the art ResNet50 CNN implemented with Pytorch in Python. Our Model achieved 98% accuracy Open Datasets used : Malaria: https://ceb.nlm.nih.gov/repositories/malaria-datasets/ Eye: http://cecas.clemson.edu/~ahoover/stare/ Try it out now at https://health-insu.onrender.com/ You can get some test Images from: https://drive.google.com/drive/folders/1RRc4YF5rykG19fBFiOxQzu1tRxfSWsId?usp=sharing All the test images are from test which were not show to the model.

You can also visit the dataset source website to get different images or if you have your own images you can use them too.

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Disease diagnoser

Built With

• python
• pytorch