vavinash992 / skin-cancer-predictor

Skin cancer predictor

Packages used

• Flask==2.1.2
• matplotlib==3.5.2
• numpy==1.22.3
• pandas==1.4.2
• plotly==5.12.0
• tensorflow==2.11.0

Setup

• Clone the following repository using the following command

    $ git clonne https://github.com/vavinash992/skin-cancer-predictor.git

• To deploy this project run following command to install all necessary libraries

  $ pip install -r /path/to/requirements.txt

• open the following link and make a copy of the collab notebook

  https://colab.research.google.com/drive/1jaM11D3O4NUZ13UfbVgMN0jsAtEtYTtS?usp=sharing

• Now run the colab notebook and upload the kaggle.json file(can be downloaded from kaggle api page) for downloading the dataset

• Now run the remaining cells and at last you will get a file named predd.h5 this is your trained model download it and place it place it in the project folder.

• Than run the app.py

  $ python3 app.py

• A link will appear on the command line copy it and paste it in the browser

  by default it runs in the following website http://127.0.0.1:5000Skin cancer predictor