katanaml/katana-assistant
Text based assistant powered by Machine Learning and NLP
Builds intent classification models with TensorFlow/Keras to route user queries, exposing predictions via Flask REST endpoint on port 5001. Full-stack implementation connects the ML model to a Node.js/Socket.IO backend (port 3000) and Oracle JET frontend (port 8010), with intent definitions and pre-trained model artifacts provided for rapid deployment or retraining via Jupyter notebook.
103 stars. No commits in the last 6 months.
Stars
103
Forks
62
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Dec 09, 2022
Commits (30d)
0
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