I’m currently building AeroGlass XAI, a web-based command center for jet engine maintenance. While I have a robust backend foundation using the NASA CMAPSS FD004 dataset, my focus for this hackathon is the “Glass Box” transition. I am taking pre-computed BiLSTM predictions and SHAP arrays and wrapping them into a production-ready Streamlit architecture.

I have just finalized a scalable, multi-file directory structure to ensure this isn’t just a script, but an enterprise-grade application. I’ve also implemented the native dark-mode aerospace aesthetic in the configuration.

My aim is to turn static math into a “Live Telemetry” simulator and an interactive XAI audit tool where users can drill down into thermodynamic sensor impacts in real-time.