• React: A JavaScript library for building user interfaces.
• TensorFlow.js: A JavaScript library for training and deploying ML models in the browser and on Node.js.

• Deep Learning: Subset of AI that uses multi-layers neural networks that learn from lots of data.
• Mobile: An environment to develop apps and enable engagements that are designed specifically for mobile users.
• Web Development: The construction of modern web apps using open-standards technologies.
• Visual Recognition: Tag, classify, and train visual content using machine learning.

Now go to the cloned repo directory:

cd sox

In the project directory, run:

yarn install

$ python -m venv myenv # Python 3.X $ virtualenv myenv # Python 2.X

$ source myenv/bin/activate # Mac or Linux

```bash
pip install tensorflowjs

python download_model.py

tensorflowjs_converter --input_format=keras ./mobilenet_1_0_224_tf.h5 ./my-model

mv ./my-model/* ./public/model/

In the project directory, run:

yarn start-dev

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

node server.js

This will bring up the server which will serve both the API and built UI code. Visit it at http://localhost:5000.