The problem Razor Blade solves

Razor Blade is an essential step towards building more accurate diagnosing AI models that can be used instantaneously for taking quick precautions until genuine testing. During the pandemic we realized how Indian healthcare services were at maximum capacity hence our model will provide the diagnosing feature at home so that people can take precautions and predict the severity of the diseases. It is also scalable as it will keep on getting more accurate with more data. It provides a leap into the future where AI will detect the disease without the need for hectic testing protocols. This approach is also cost-effective as with this web application we can provide millions of people with testing features that won't require costly private testing and will help in making the health infrastructure of the country more accessible to all.

Challenges we ran into

First, the biggest challenge we faced was to integrate the ai model build using the tensor flow library in python with the express server and web application. There were system compatibility issues as the image processing was taking time.
We have to integrate the features of file uploading to our model . we had to use third-party API like multi to make use of the file uploading feature to our server and then use that file to send that to our model for image processing.
More problems were faced as we have to feed the correct image format to our application.
Then designing an easy and accessible user interface took time.
Most importantly building the AI model and training the model to give out more and more accurate data for making the web application work.