Flight Telemetry Anomaly Detection System - Work in progress

A real-time, multi-language anomaly detection system for flight telemetry data using machine learning.

Overview

This system monitors aircraft engine vibration patterns in real-time to detect potential engine failures using an Isolation Forest algorithm. It consists of:

• C++ Flight Simulator: Generates realistic telemetry data
• Python ML Engine: Anomaly detection using Isolation Forest
• Node.js Backend: REST API for data serving
• React Frontend: Real-time visualization dashboard