The problem Doctor At Lap solves

Consulting a doctor after having the all our body metric has become a very hectic task in these days. People need to travel to hospital and then wait for the doctor. We cant even guarentee that doctors would be available to us all the time, eventhough if they are available we need to take an appointment for visiting the doctor and wait till our turn come.
So our website basically aims on taking all the metrics from the patients and display preliminary information of the illness they are suffering from. Our online doctor is easy to use, time saving and reliable.

Challenges we ran into

We had many challeges like getting the required datasets and all. The main challege that we ran into is while using replit itself, Actually replit provides only 1GB of storage for each repl, so for doing image classification using tensorflow it became a problem because tensorflow module alone takes more than 500MB of space so we coudn't add more disease predictions which uses image classification but other than this issue everything else with replit was fine as it is easy to use because it deploys repls immediately when we run, this is the best feature i found.