๐Ÿง  NeuroFit v1.0.1 โ€“ A Smart Headband for a Smarter You

Anurag PandaAnurag Panda
4 min read

"A headband for mankind."
โ€” NeuroFit Project Tagline

๐Ÿ“Œ Introduction

In todayโ€™s fast-paced world, mental health, focus, and cognitive performance are more important than ever. NeuroFit v1.0.1 is a DIY brain-sensing headband project that combines hardware, neuroscience, and software to help you monitor and improve your mental state โ€” whether youโ€™re meditating, working, or learning.

This open-source project brings together signal acquisition, processing, and visualization into one cohesive ecosystem โ€” making it an exciting venture for hardware enthusiasts, coders, and neuroscience explorers alike.


๐ŸŽฏ Project Goals

NeuroFit was built with a simple mission:

  • Measure brain activity via affordable EEG sensors.

  • Process the data in real-time to extract meaningful insights.

  • Visualize focus, relaxation, or stress levels in an intuitive web app.

  • Encourage mental well-being through feedback and gamification.


๐Ÿ›  Hardware Overview

The NeuroFit headband consists of:

  • EEG Sensor Module โ€“ Captures brainwave signals.

  • Microcontroller (ESP32/Arduino-compatible) โ€“ Handles signal acquisition and wireless data transfer.

  • 3D-printed Headband Frame โ€“ Designed for comfort and secure electrode placement.

  • Battery & Charging Circuit โ€“ Portable, rechargeable, and wearable.

๐Ÿ“„ The repository contains:

  • NeuroFit_Headband.pdf โ€“ Mechanical design and assembly instructions.

  • NeuroFit_Hardware_Code.pdf โ€“ Microcontroller firmware guide.


๐Ÿ’ป Software Overview

The software stack is divided into three layers:

  1. Firmware Layer (on the microcontroller)

    • Captures raw EEG signals from the electrodes.

    • Filters and formats data for wireless transmission (Bluetooth/Wi-Fi).

  2. Backend Layer (app.py)

    • Built using Python + Flask.

    • Receives incoming brainwave data in real-time.

    • Runs processing algorithms to classify mental states.

  3. Frontend Layer (in /templates & /static)

    • Displays live brainwave graphs.

    • Shows focus/relaxation scores and historical trends.

    • User-friendly interface for quick feedback.


๐Ÿš€ How It Works

  1. Wear the Headband โ€“ Adjust the electrodes so they make good skin contact.

  2. Start the App โ€“ Run the Python app locally or deploy via Docker/Vercel.

  3. Data Collection โ€“ EEG signals are streamed from the headband to the app.

  4. Signal Processing โ€“ The backend cleans, filters, and extracts features.

  5. Live Dashboard โ€“ See your mental state evolve in real-time.


๐Ÿงฉ Key Features

  • Live EEG Graphs โ€“ Monitor your brain activity as it happens.

  • Focus & Relaxation Scores โ€“ Quantitative feedback to track improvements.

  • Responsive Web Dashboard โ€“ Works on desktop and mobile.

  • Modular Design โ€“ Easy to upgrade sensors or algorithms.

  • Open Source โ€“ Free to modify and share.


โš™๏ธ Installation & Setup

1๏ธโƒฃ Clone the Repository

git clone https://github.com/anu-rag-panda/neurofit-v1.0.1.git
cd neurofit-v1.0.1

2๏ธโƒฃ Install Dependencies

pip install -r requirements.txt

3๏ธโƒฃ Run the App

python app.py

Open http://localhost:5000 in your browser to view the dashboard.

4๏ธโƒฃ Optional: Docker Deployment

docker build -t neurofit .
docker run -p 5000:5000 neurofit

๐Ÿ“Š Use Cases

  • Meditation & Mindfulness Tracking โ€“ See how calm you really are.

  • Focus Training for Students โ€“ Improve attention span during study sessions.

  • Biofeedback Therapy โ€“ Integrate with relaxation or stress management programs.

  • Neurogaming โ€“ Control games with your brain activity (future scope).


๐Ÿ”ฎ Future Roadmap

  • Mobile App for iOS/Android with Bluetooth connectivity.

  • Machine Learning Models for personalized brainwave analysis.

  • Cloud Integration for long-term mental performance tracking.

  • Community-driven Hardware Mods for better comfort and accuracy.


๐Ÿค Contributing

NeuroFit is open source and welcomes contributions in:

  • Hardware design improvements

  • Firmware optimization

  • Signal processing algorithms

  • Frontend dashboard enhancements

Fork the repo, make your changes, and submit a pull request โ€” your brainchild could shape the future of NeuroFit.


๐Ÿ“ข Final Thoughts

NeuroFit v1.0.1 is more than just a headband โ€” itโ€™s a bridge between your brain and the digital world. Whether youโ€™re a hardware hacker, a neuroscientist, or just someone curious about their mental state, NeuroFit gives you the tools to explore, measure, and improve your mind.

๐Ÿ”— GitHub Repository: NeuroFit v1.0.1

๐Ÿ“ฌ Contact

๐Ÿ’ผ LinkedIn: Anurag Panda
๐Ÿ“ง Email: anuragpanda.dev@gmail.com

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Written by

Anurag Panda
Anurag Panda