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NeuroNav by Team NEXT

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About This Repository

Welcome to NeuroNav, an innovative project by Team NEXT! This repository showcases our groundbreaking approach to assistive technology, enabling wheelchair control through EEG signals derived from brain waves.

Highlights

  • Mind-Powered Control: Navigate seamlessly using mental commands.
  • ESP32 Integration: Real-time communication with the wheelchair's hardware system.
  • PyQt5 GUI: A user-friendly interface for configuration and monitoring.
  • Customizable Settings: Personalize commands for an optimal user experience.

Project Vision

Empowering individuals with limited mobility by harnessing the power of neurotechnology. NeuroNav represents the future of assistive devices, where thought becomes action and possibilities become limitless.


Key Features

  1. EEG Signal Interpretation: Leverages advanced machine learning models to interpret brain wave patterns.
  2. Real-Time Response: Ensures accurate and prompt wheelchair movement.
  3. Configurable Profiles: Tailor settings to individual users for seamless operation.

Requirements

Before starting, you will need an EEG device. During the prototyping phase, we are using the Emotiv Insight - 5 Channel Wireless Headset. While this is a high-end device, we plan to use more affordable versions in the final stages of development. For now, we are making it work with the equipment available.


Get Started

  1. Clone the repository:
    git clone https://github.com/NIlima294/NeuroNav.git
  2. Install dependencies:
    pip install -r requirements.txt
  3. Connect the ESP32 device and run the main application:
    python main.py

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  • Python 49.8%
  • CSS 30.5%
  • HTML 14.6%
  • JavaScript 3.1%
  • C++ 2.0%