Ouija is a proposed platform purposed towards democratizing access to personal neurological health.
This will be done by aggregating diverse sets of data, including various high-fidelity neural scans, relevant medical reports, and real-time EEG monitoring via a non-invasive brain-computer interface to actualize a high-fidelity "God View" of the users neurology, so that they can comprehend + proactively monitor their brain activity, functioning, integrity and any perturbations due to aging / damage.
I (Eros, bd.ai founder) will be the initial test case for this initiative and my actual neurological and health data will open-sourced for use in this project. The gif at the top of this README is an axial MRI scan of my brain taken @ Stanford.
- Overview
- Core Features
- Technological Stack
- Data Sources
- Installation
- Dependencies
- Contributing
- License
- Contact & Support
- Multi-Modal Data Integration: Seamless integration of MRIs, PET scans, neurology reports, and more.
- Real-Time Brain Monitoring: Direct interfacing with OpenBCIs MarkIV BCI for instantaneous data capture and visualization.
- Deep Analytics: Dive deep into your data with our advanced machine learning algorithms and AI-powered insights.
- Security & Privacy: With HIPAA-compliant storage and GDPR adherence, rest assured your data is in safe hands.
- React
- D3.js
- Python Flask
- FastAPI
- PyTorch
- Scikit-learn
- PostgreSQL (HIPAA-compliant relational database)
- WebSocket (for handling real-time data streams from OpenBCIs MarkIV)
- HTTPS
- JWT
- SPECT (concertated + rested-state via Amen Clinics)
- fMRI (guided, rested-state via SimonMed Imaging)
- Brain MRI (structural via Stanford Neurology)
- Full-Body MRI (via Q Bio Gemini Exam)
- Raw Unfiltered EEG (Cadenced across various states via Neurosity Crown BCI LSL)
- Full Panel Bloodwork (via Q Bio Gemini Exam)
- Vitals + Sleep Data (Routine + constant tracking via Oura Ring 3)
- Genetic Data (via 23 & Me)
- Current General Medical Data (via Standford Health)
- Historical General Medical Data (via Forward Health + Apple Employee Wellness Center)
- MEG (Magnetoencephalography)
- CW-NIRs (Continuous Wave Near-Infrared Spectroscopy)
- sEEG (Stereoelectroencephalography)
- qEEG (Quantative Electroencephalography)
- Polysomnography (for comprehensive sleep pattern analysis)
- HR-pQCT (High-Resolution Peripheral Quantitative Computed Tomography)
- DTI (Diffusion Tensor Imaging)
- Cerebral Spinal Fluid Analysis
# Navigate into the directory
cd Ouija
# Install backend dependencies
pip install -r requirements.txt
# Navigate to frontend directory
cd frontend
# Install frontend dependencies
npm install
# Run the backend and frontend as per the individual READMEs in their directories.
We highly value any and all adjacent expertise in:
- Computational Neuroscience: To refine our analytical models and make sense of complex neurological data.
- Neurotech: To enhance our real-time brain monitoring capabilities.
- Deep Learning: For advancing our data analytics and prediction systems.
- If you're passionate about these fields and wish to make a meaningful impact, please see our CONTRIBUTING.md for guidelines.
Ouija is under the Apache 2.0 License. Check out LICENSE.md for more details.
For inquiries, support, or collaborations, feel free to contact [email protected]