Haf0 / Bangkit-C22CB-Company-Based-Capstone

This is our work for Bangkit Academy 2022 Company Based Capstone Project on Problem Code C22-CB

Bangkit-C22CB-Company-Based-Capstone

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

The Boys

Name	Bangkit ID	Learning Path
Ananda Daffa Abdillah	M2008G0791	Machine Learning
Daffa Haj Tsaqif	M2008G0792	Machine Learning
Mario Hagi	M2191F1819	Machine Learning
Alheta Wahyu Matalarens	A2110F1435	Mobile Development
Ary Bayu Nurwicaksono	A2183F1767	Mobile Development
Hafit Abekrori	A7183F1768	Mobile Development
Muhammad Acla Alamsyah Nurdin Hamzah	C2307F2632	Cloud Computing
Aimar Anand	C2323J2836	Cloud Computing
Ariel Peaceo Gunawan	C7005F0459	Cloud Computing

What is this? (coming soon)

TBA

Editing Architecture Chart

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

Running Our Project in Local

Using Conda (easier to build)

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

Using PIP (not recommended, still experimental)

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
pip install -r requirements.txt

References

• TensorFlow and Transformers (Medium)
• AjulorC's question answering bot