AI + ML + Telemetry Systems

Designing and building real-time data pipelines, intelligent agents, and applied ML infrastructure for streaming telemetry, time-series analytics, and system performance insights.

This section documents the technical infrastructure behind SC Tuning: real-time telemetry pipelines, data processing, and the ML systems being developed for performance analysis.

Current State

The core pipeline is operational:

FM7 Game (UDP 7777)
    ↓
Telemetry Receiver (VPS)
    ↓ rsync
Local Session Storage
    ↓
Metrics API (REST/SSE)
    ↓
WebUI Dashboard

Working now:

  • 85 telemetry fields decoded at 60Hz
  • 9 production metrics implemented
  • REST API with pagination + SSE streaming
  • Session management and replay

In development:

  • Rule-based diagnostic engine
  • Track identification system
  • Statistical pattern analysis

Planned:

  • ML models for lap time prediction
  • Anomaly detection for setup issues
  • Adaptive tuning agents

Documentation Roadmap

TopicStatus
System ArchitectureAvailable
Telemetry Field ReferenceComing soon
Metrics API GuideComing soon
ML Model DocumentationPlanned
System Architecture

How the SC Tuning telemetry pipeline works, from game output to dashboard visualization.