Tensorflow Human Behavior Prediction Engine

behavior-analysis behavior-driven-development feedforward-neural-networks human-behavior human-behavior-understanding human-behaviour neural-machine-translation nlp-machine-learning predictive-modeling semantic-segmentation
2 Open Issues Need Help Last updated: Sep 12, 2025

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enhancement help wanted

Tensorflow Human Behavior Prediction Engine

Python
#behavior-analysis#behavior-driven-development#feedforward-neural-networks#human-behavior#human-behavior-understanding#human-behaviour#neural-machine-translation#nlp-machine-learning#predictive-modeling#semantic-segmentation

AI Summary: Improve the temporal understanding capabilities of a TensorFlow-based human behavior prediction engine. This involves enhancing the NLP feature extraction (potentially using improved spaCy labeling and different text embedding techniques), incorporating context awareness, and upgrading the neural network architecture from a feedforward network to a potentially more suitable architecture like a CNN to better handle temporal data. The goal is to enable the model to understand not only the frequency of actions but also the context and reasons behind them.

Complexity: 5/5
bug help wanted

Tensorflow Human Behavior Prediction Engine

Python
#behavior-analysis#behavior-driven-development#feedforward-neural-networks#human-behavior#human-behavior-understanding#human-behaviour#neural-machine-translation#nlp-machine-learning#predictive-modeling#semantic-segmentation