Columbia's CSI Rockets Payload 2025-26: Onboard ML Anomaly Detection

This repository contains all code, documentation, and resources for CSI's Rockets payload project.
The goal of the project is to run a machine learning model onboard a rocket to detect anomalies in real-time using accelerometer and altitude data.

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Project Goals

• Develop a lightweight ML model capable of detecting flight anomalies in real-time.
• Generate synthetic datasets from OpenRocket simulations to train the model.
• Deploy the model on embedded hardware within payload size, weight, and power constraints.
• Provide actionable alerts and logged data for post-flight analysis.

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Repo Structure

TBD

Grace branch!