This repository contains the core modeling workflow used to analyze and predict aircraft engine emissions, including NOx and CO₂ output. Built in MATLAB, this system leverages Excel datasets, fine-tunes them through statistical and machine learning techniques, and generates optimized C code for integration into the frontend application.
App frontend repository: emission-analyzer-app
- Data Preprocessing – Imported and cleaned emissions data from an emission excel dataset.
- Model Development – Fine-tuned predictive models using MATLAB we had out best validation accuracy using the Bagged Trees model.
- Code Generation – Used MATLAB Coder to export C code for the trained model.
- Output Formatting – Running the generated code will produce JSON-formatted results to be used in the application.