AI Yoga Instructor
Computer vision pose estimation & real-time audio coaching
Structured architectural snapshot optimized for enterprise review and generative search synthesis.
On-device 60 FPS MediaPipe pose estimation with audio corrective cues and biometric flexibility tracking.
Real-time 33-point anatomical landmark tracking with joint angle correction.
On-Device CV: 60 FPS • Pose Accuracy: 98.2% • Active Users: 50K+ • Inference Latency: < 30ms
Zero Data Leakage / ISO 27001 Aligned
Executive Summary // Architecture Brief
PRODUCTION SPECIFICATIONA cross-platform wellness application delivering 60 FPS on-device computer vision pose detection, joint angle analysis, and personalized adaptive workout sequencing.
Key Impact & Verified Metrics // 2026 Telemetry
LIVE PRODUCTION BENCHMARKSCore Architecture & Capabilities // Symmetrical Topology
[ 3 OF 3 MODULES DEPLOYED ]Computer vision pose estimation
Real-time 33-point anatomical landmark tracking with joint angle correction.
Adaptive asana sequencing
Dynamic routine pacing adjusting to user fatigue and heart-rate metrics.
Biometric flexibility radar
Quantified joint mobility tracking across 12 anatomical zones.
AI Yoga Instructor - Computer Vision Fitness & Pose Analysis
Cross-platform mobile and web application featuring real-time on-device computer vision pose estimation, audio corrective cues, biometric flexibility radar, and personalized wellness regimens.
Computer Vision Pose Estimation & Real-Time Audio AI Coach
HealthTech & Connected FitnessOn-device MediaPipe and CoreML pose estimation pipeline delivering sub-30ms joint angle calculations and low-latency synthesized audio guidance.
AI Yoga Instructor - Architecture Topology
Live topology inspection, microservice mesh, and protocol specifications for AI Yoga Instructor.
Next.js 16 Edge Client
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
YARP / Envoy Gateway
OAuth2/JWT token verification, mTLS encryption, rate limiting, and dynamic tenant routing.
SignalR WebSocket Hub
Bidirectional streaming for live telemetry, chat broadcast, and instant notifications backed by Redis.
C# .NET 9/10 Core Engine
High-throughput event sourcing with MediatR CQRS pipelines and compiled expression trees.
LangGraph AI Mesh
Stateful multi-agent execution with policy guards, token budget controllers, and tool routing.
vLLM Inference Cluster
Self-hosted Llama-3 & DeepSeek models with continuous batching and FP8 quantization.
Vectorless BM25 Engine
Zero vector database lock-in. SQLite FTS5 / Lucene BM25 index with reranking cross-encoder.
Apache Kafka / RabbitMQ
Log-based partitioned event streams for asynchronous auditing, notifications, and telemetry ingestion.
Redis 7.2 Cluster
Distributed cache with sub-millisecond lookups, distributed locks, and SignalR pub/sub backplane.
PostgreSQL Multi-Tenant DB
Strict tenant schema isolation with connection pooling (PgBouncer) and WAL archiving.
Next.js 16 Edge Client
SSR / Edge Worker
Architectural Specification
Global CDN distribution with server-side streaming hydration and sub-second TTFB.
Downstream Pipe Connectors
Screenshots & Architecture Schematics
Verified Production Impact & Client Endorsements
Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.
“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”
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Ready to Build Enterprise AI Yoga Instructor?
Consult directly with our principal AI architects to evaluate architecture feasibility, cost optimization paths, and implementation timelines.