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A multimodal STEM workstation combining deep reasoning with code execution, capable of processing handwritten mathematical formulas.
Built for the Google AI Studio "Vibe Coding" Hackathon. As Data Science students, we work with handwritten integrals and whiteboard sketches. This AI tool operates as a visual workstation, processing unstructured STEM input, performing deep reasoning over equations, and writing actionable implementation code.
This system was architected with a strict separation of concerns, ensuring that the ingestion pipelines, processing engines, and client-facing interfaces operate independently. By decoupling these layers, the platform achieves high fault tolerance and scalable execution environments capable of handling rigorous throughput without bottlenecking.
Security and state management were primary constraints during development. We implemented robust state verification and sanitization protocols across all boundaries to prevent data leakage and ensure execution environments remained immutable during volatile operations.