Prediction or detection of various medical ailments. Deployed locally using Flask 2.0.
If you do not have Anaconda or Miniconda3 installed install it using the following link
Anaconda : https://www.anaconda.com/products/individual
MiniConda3 : https://docs.conda.io/en/latest/miniconda.html
If you have Anaconda installed create a conda environment :
conda create -n tf
conda activate tf
conda install -c conda-forge tensorflow
conda create -n tf-gpu
conda activate tf-gpu
conda install tensorflow-gpu
Cd into your newly created environment (from command line or terminal)
cd C:\...\path-to-your-conda-environment\
Installing modules we will need Though your virtual env will have all required modules, here are some extra ones required to setup this project locally
pip install flask
pip install pillow
git clone https://github.com/IIITKalyaniFOSC/MediCare-Prime
cd C:\...\path-to-your-cloned-repo\
python app.py
Succesfull installation and running will give you a link you can visit locally. For any exceptions, kindly recheck the entire process and try again, or feel free to create an issue.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.