NeuroScreen
Vision-based ASD & ADHD early symptom screening · Octopi.Health assignment
What this does
3-layer pipeline: MediaPipe extracts 8 behavioral signals → EfficientNetB0 classifies 9 symptom categories → clinical scoring engine produces ASD + ADHD risk scores with Grad-CAM visualization.
Model performance
85.8% test accuracy
904 test samples
continuous_moving: 98.1%
finger_flapping: 93.0%
Dataset limitations
- Public Roboflow dataset — not clinically annotated or IRB approved.
- 3 of 9 classes have zero samples (spinning, stimming, lack_social_skill).
- Internet-sourced images — limited demographic diversity.
- MediaPipe movement signals are unavailable for static images (video/webcam needed).
For production use we would need
- Clinically annotated dataset from pediatric hospitals (NDAR, ABIDE, SSBD).
- IRB approval and informed consent from participants.
- Validation against DSM-5 criteria by licensed clinicians.
- 500+ balanced samples per class across age groups and demographics.
Tech stack
EfficientNetB0MediaPipe
Grad-CAMFastAPI
TensorFlow 2.16OpenCV
⚕ Screening tool only. Not a certified medical device. Always consult a licensed developmental pediatrician for formal assessment.