Neura.Deep-Tech Lab
Bandwidth-Optimized Semantic Streaming Engine
An interactive test suite for all four deep-tech features. Test SLM prompt compression, offline edge resilience, animated math rendering, and local WebGPU voice synthesis.
Task 1 & 2
SLM Failover & Payload Budget
Caps the prompt at the payload budget, then routes it through the model failover chain. The provider key stays server-side. Falls back to a pre-authored lesson when offline.
Task 3
Vector-Over-Video Math Animation
Structural JSON rendered as animated KaTeX equations via Framer Motion — zero video bandwidth, 100% vector.
Task 4
In-Browser Text-to-Speech
Kokoro-82M ONNX model synthesizes voice locally via WebGPU acceleration or WASM fallback — zero cloud cost, zero latency.
Will speak: “The Pythagorean theorem states: in a right-angled triangle, a squared plus b squared equals c square…”