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Issue 653
This project explores the use of Natural Language Processing (NLP) techniques to analyze messages from banking clients and identify their underlying intent.
CodePeak 2025 Participant
Contributor
Closes: #653
Describe the add-ons or changes you've made
This is the initial implementation of the Client Intent Detection project.
I set up the project structure, added the dataset loading and preprocessing scripts, implemented the intent classification model using TensorFlow and Keras, and included essential components such as label encoding, TF-IDF vectorization, model training, and evaluation.
Additionally, I added comments, a requirements file, and a brief project description in the README for better clarity and future collaboration.
Type of change
What sort of change have you made:
How Has This Been Tested?
Describe how it has been tested
The initial implementation has been tested by running the data preprocessing and model training scripts on a sample dataset of banking client messages.
Checklist: