Bridging the gap between brains and machines
Building the future of Brain-Computer Interfaces using AI, neuroscience, and edge computing.
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EEG AI Engine
Deep learning–powered (CNN-LSTM) EEG analysis for real-time signal classification and anomaly detection -
Modular Infrastructure
RESTful APIs for data upload, health checks, analytics, and live streaming (RabbitMQ over MQTT) -
Interactive Frontend
Role-based web platform and mobile application with real-time chat and embedded AI assistant -
Data Architecture
InfluxDB for time-series neural data, MongoDB for structured metadata, and scalable cloud computing
- Accuracy: Scientific rigor in every model
- Performance: Real-time first, scale second
- Openness: Documented, modular, developer-friendly
- Ethics: Privacy, consent, and responsible AI
NeurAI nlPT-Preview 1 — EEG deep learning model
Version 1 of Real-time CNN-LSTM hybrid for EEG signal classification, streaming, and anomaly detection.
Includes REST API endpoints for file uploads, health metrics, and analytics dashboards.
Neurolab Platfrom — Web platform
Modular frontend for doctors with appointment management, patient health tracking, data visualizations, and collapsible AI assistant.
Neurolab Mobile — Mobile platform
Modular mobile app for users and doctors with live chat, data visualizations, and collapsible AI assistant.
Neurolab API — Core services
Handles secure APIs, message queues (RabbitMQ), and data pipelines (InfluxDB + MongoDB) used throughout our platforms.
We welcome contributions from researchers, engineers, and developers.
Please read our CONTRIBUTING.md and CODE_OF_CONDUCT.md before contributing.
© 2025 Neurolab — Building technology with purpose