The repo contains the code for basic binary AutoML. The pipeline takes in the dataset of any size and any columns. The user just needs to specify Categorical and Numerical columns as well as a label. The program will train Catboost based model and cross validated using 5 folds. The program is interactive via Django Framework. All code related to AutoML is in pipeline.pipe.py and piepline.utils.py scripts.