Gradelytics: AI Syllabus & VibeGrading

Gradelytics is an advanced, startup-ready academic co-pilot designed to streamline course preparation and objective evaluation for educators. Built as a high-fidelity full-stack MVP, the platform directly addresses administrative burnout in modern education through two core agentic workflows: the Syllabus Architect and the VibeGrading Simulator. Pundits can instantly map granular learning competencies into structured weekly timelines or execute deep, semantic evaluations of student essays based on completely customizable rubric constraints. Architected for flexibility and production-grade reliability, Gradelytics implements a powerful Hybrid AI Inference engine. For scalable cloud operations, the application securely orchestrates high-throughput serverless models via the Fireworks AI API gateway. To ensure absolute data privacy for enterprise and on-premise institutional rollouts, the reasoning engine is fully optimized to run locally on native AMD hardware infrastructure. The pipeline was benchmarked and validated on AMD RDNA 3 (gfx1100) hardware with 51.5 GB VRAM utilizing PyTorch bindings over the ROCm compute platform. Featuring robust JSON contract parsing, dynamic collapsible sidebar UI states, live analytics charts, and client-side markdown or print-ready PDF reporting, Gradelytics balances sophisticated enterprise architecture with maximum practical market potential. The entire ecosystem is fully containerized, making it instantly ready for deployment and continuous localized iterations.