AI-Powered Diagnostic Engine

Automating the Future of
Medical Diagnosis.

SSI leverages advanced neural networks to detect early-stage Parkinson's markers. Autonomous, precise, and continuously learning from every interaction.

Neural Sensor Fusion

Our AI fuses data from accelerometers and gyroscopes, using Deep Learning to quantify tremor severity with clinical precision.

Automated Triage

AI algorithms analyze patient inputs in real-time, automatically flagging high-risk cases for immediate medical review.

Predictive Analytics

Machine learning models forecast symptom progression, allowing doctors to intervene before severe motor degradation occurs.

Built on Cutting-Edge AI Infrastructure.

We've replaced manual diagnostic heuristics with a scalable, automated AI pipeline. Designed for high-throughput analysis and seamless integration with hospital systems.

    Inference Engine

    ONNX Runtime running quantized models on the edge

    Backend Processing

    Python (FastAPI) microservices for heavy ML lifting

    Data Pipeline

    Real-time stream processing with Apache Kafka & Supabase

    Security

    Federated Learning capable & HIPAA compliant architecture

data_processor.ts
interface TremorData {
  frequency: number;
  amplitude: number;
  confidence: number;
}

const analyzeMovement = async (raw: SensorStream) => {
  // FFT processing for noise reduction
  const clean = signal.filter(raw, NOISE_THRESHOLD);
  return MLModel.predict(clean);
}

Free. Open. Yours.

We believe healthcare algorithms should be transparent. That's why SSI is MIT Licensed. Fork it, modify it, deploy it for your clinic without paying a cent.