This is our repository for Company Based Capstone.

Our team Consist of 9 people.

• Bangkit-C22CB-Company-Based-Capstone
  • The Boys
  • What is this? (coming soon)
  • Editing Architecture Chart
  • Running Our Project in Local
    • Using Conda (easier to build)
    • Using PIP (not recommended, still experimental)
  • References

TBA

Use Draw.IO to create our architecture chart, use this VScode Extension to edit our diagram inside the editor: Draw.io Integration in VSCode

if you are using conda, you can install our project using the following command:

conda create --name bangkit_capstone python=3.9
conda activate bangkit_capstone
pip install ipykernel

or this command if you are want to specify the path of the environment

conda create --prefix ./venv/ python=3.9
conda activate ./venv/
pip install ipykernel

It's advised for machine learning aspect to use virtual environment to working with this project, this is to prevent incompatibilities with other contributors.

If you are still activate Conda, you can deactivate it by typing conda deactivate.

in the repo's directory, run the following commands one by one:

python3 -m pip install --upgrade pip
python3 -m venv venv
source venv/bin/activate | source venv/Scripts/activate
pip install -r requirements.txt

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