
NeuroNet is a modular AI platform that converts EEG signals into meaningful actions for clinical, research, and assistive use. It uses CNNs, RNNs, and other deep learning methods, with SHAP explanations and LLM-enabled natural language queries, to analyze EEG data. The system is designed as a BCI and neurotechnology platform with YAML-driven pipelines, edge AI hardware, and integrations for clinical workflows. NeuroNet aims to scale across healthcare and research settings, improving diagnostic transparency and workflow efficiency.

NeuroNet is a modular AI platform that converts EEG signals into meaningful actions for clinical, research, and assistive use. It uses CNNs, RNNs, and other deep learning methods, with SHAP explanations and LLM-enabled natural language queries, to analyze EEG data. The system is designed as a BCI and neurotechnology platform with YAML-driven pipelines, edge AI hardware, and integrations for clinical workflows. NeuroNet aims to scale across healthcare and research settings, improving diagnostic transparency and workflow efficiency.