This repository implements a multi-class text classification model using a Convolutional Neural Network and word embeddings. The model is built with TensorFlow 2 and Keras, trained on the Kaggle Consumer Finance Complaints dataset to predict product categories from complaint narratives. The workflow includes training scripts that produce a best model checkpoint and prediction scripts for inference on new data.