Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|
Repository files navigation
generate_dataset.py
Exports calendar data from the database and prepares it as a training dataset.
train_model_from_csv.py
Trains the machine learning model using the dataset and saves the model and encoders to be used in model.py.
model.py
Loads the trained model and provides prediction and training functions (AI engine).
app.py
This is the API layer. It exposes AI as an API. FastAPI service that exposes the AI model via HTTP endpoints (/predict, /train).