ML Application · Python

chatbot-pipeline

Intent-based chatbot built with TensorFlow/Keras and Flask. Full NLP pipeline: tokenization, lemmatization, bag-of-words encoding, neural network classification, and web deployment.

Pop Alexandru@pop123-ux · Atlas 70.7 · #4= builder

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What it is

This repository implements an end-to-end intent-based chatbot system using TensorFlow/Keras for model training and Flask for serving. It includes a standard NLP pipeline (tokenization, lemmatization, bag-of-words) and provides instructions for both training from scratch and using a pre-trained model.

Scored from the code at its last scan, 12 Oct 2026. How merit is scored

Where it counts

Machine Learning80%
NLP & LLMs60%
Data Science20%
MLOps10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

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36chatbot-pipelineML Application · Python50.2/100ImplementationPop AlexandruMachine Learning
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What it is

Where it counts

Around it on the Machine Learning board

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