Astrielle AI
Astrielle AI is a live edge-computing web application built to solve the 22-minute communication latency between Earth and Mars during deep-space missions. Astrielle AI bypasses the 44-minute round-trip delay by analyzing mission-critical telemetry locally in 0.004 milliseconds.
Key Features
- Human-Systems Integration (HSI): Engineered an architecture that combines physical sensor data with human psychological states to calculate a unified Autonomous Safety Index.
- Acoustic AI & Vocal Biomarkers: Integrated a Wav2Vec2 machine learning model (Hugging Face) to process acoustic telemetry and detect crew stress/panic in real-time. This architecture is highly scalable for terrestrial healthcare and medical diagnostic systems.
- Spacecraft Damage Prediction: Built structural health monitoring simulations (hull strain, vibration) specifically tailored to predict microscopic cracks and prevent catastrophic damage.
- Iterative Engineering: Managed a complex codebase with 130+ documented commits, ensuring system reliability and modularity through continuous integration and refinement.
