Teaching Academy with AI

Sample page hosted on Heroku: tryit ... https://idomai.herokuapp.com/ 📢

1. Clone repository: For security use SSH keys.

   git clone https://github.com/AdonaiVera/idomai.git

2. Install dependencies.

   pip3 install -r requirements.txt

3. Run commands

   streamlit run app.py

4. Enjoy

1. Set up heroku command.

2. Add heroku-buildpack-apt to buildpacks.

   $ heroku buildpacks:add --index 1 heroku-community/apt

1. Update requirements.txt.

   $ make deps/update

2. Commit it.

   $ git add requirements.txt
   $ git commit -m "requirements.txt"

heroku create -a idiomai
git push heroku master

1. Install docker
2. Instal Azure CLI locally

docker build --tag idomai-app .

docker run -p 8501:8501 idomai-app

http://localhost:8501/

az acr build --registry idomAIRegistry --resource-group idomAI --image idomai-app .

Architecture is divided intro three main parts:

1. WEB APP develop in streamlit.
2. Computer vision class develop in Python with mediaPipe and OpenCV.
3. Azure media services to stream videos in real time

Mention the tools you used to create your project

• MediaPipe - ML solutions for live and streaming media.
• Streamlit - Web apps framework.
• AzureMediaSerives - Streaming video platform.
• OpenCV - Image Processing library

• Adonai Vera - AI developer Geta Club - AdonaiVera