Neurolab

Bridging the gap between brains and machines
Building the future of Brain-Computer Interfaces using AI, neuroscience, and edge computing.

🌐 Website • 📩 Email • 💼 LinkedIn

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🚀 What We Build

• 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

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📌 Our Principles

• Accuracy: Scientific rigor in every model
• Performance: Real-time first, scale second
• Openness: Documented, modular, developer-friendly
• Ethics: Privacy, consent, and responsible AI

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📂 Key Repositories

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.

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🤝 Contributing

We welcome contributions from researchers, engineers, and developers.
Please read our CONTRIBUTING.md and CODE_OF_CONDUCT.md before contributing.

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_{© 2025 Neurolab — Building technology with purpose}