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NeuroFlow-AI

imported

software/neuroflow-ai

This web app uses an AI model trained with TensorFlow.js to guess if a (fake) person would be "focused" or "distracted" based on simulated brain waves (alpha/beta/gamma) generated every second.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
ai-dashboard · attention-monitoring · brain-computer-interface · brain-visualization · cognitive-interface · cognitive-science · deep-learning · eeg-analysis
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • bcibrain-computer-interface · eeg-analysis

    Framework for P300 wave detection and noise-based cyberattacks in Brain-Computer Interfaces - Enrique Tomás Martínez Beltrán

  • CTNetbrain-computer-interface · eeg-analysis

    CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification

  • Musebrain-computer-interface · eeg-analysis

    🎧 Muse - The brain sensing headband plus attention level

  • online_bci_mibrain-computer-interface · eeg-analysis

    Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training

  • EEG-pylineeeg-analysis

    EEG-pyline is a pipeline for EEG data pre-processing, analysis and visualisation created for neuroscience and mental health research.

sources
  1. api.github.com/repos/Eduardo-J-Morales/NeuroFlow-AI
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-06-04, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/37.json→ .entries["neuroflow-ai"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.