README.md

metadata

title: Neuro-Adaptive UI
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
app_file: app.py
pinned: false

Neuro-Adaptive UI: Cognitive Load Monitoring System

Neuro-Adaptive UI is a research-oriented pipeline that bridges Neuroscience and Human-Computer Interaction (HCI). The system monitors cognitive load via simulated 14-channel EEG streams and dynamically adjusts UI density to optimize user focus.

System Architecture

The pipeline processes raw EEG data through a modular "Data-to-UI" flow:

1. Data Acquisition: MNE-Python simulation.
2. Feature Extraction: Power Spectral Density (PSD) analysis.
3. Decision Engine: Random Forest Classifier for cognitive state estimation.
4. Adaptive UI: Real-time interface feedback loop.

Technical Highlights

• Signal Processing: MNE-Python powered PSD analysis (Alpha/Theta ratios).
• AI Engine: Random Forest Classifier for cognitive state estimation (Low/Medium/High).
• Adaptive UX: Reactive feedback loop for real-time interface density shifts.
• Architecture: Modular, low-latency design optimized for Edge AI deployment.

Visuals & Performance

• EEG Signal Simulation: Real-time 14-channel data representation.
• Classifier Performance: Model accuracy assessment on synthetic cognitive load datasets.

How to Run

1. Clone the repo: git clone https://huggingface.co/spaces/begumbb/Neuro-Adaptive-UI
2. Install requirements: pip install -r requirements.txt
3. Run the app: python app.py

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Developed as a research-oriented exploration of Neuro-AI pipelines.