- Root README redesigned as landing page with 7 sub-chapters
- Each child README gets navigation header + footer linking back to root
- Cross-links between Machine_Learning, ml-service, and infra READMEs
- Reduced duplication: root summarizes, children provide full detail
- Net -207 lines, cleaner structure
Co-Authored-By: Claude <noreply@anthropic.com>
Corrected API response format documentation in README:
- Health endpoint: removed non-existent model_path field
- Metadata endpoint: fixed field names (service_name, service_version instead of service, version) and label order
- Prediction endpoint: corrected response structure to match implementation (single prediction object with probabilities map, not array)
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Update documentation to reflect migration from FastAPI/Uvicorn to Rust/Axum with ONNX Runtime:
- Root README: Update ML service description, tech stack, prerequisites, and run instructions to use Rust/Cargo instead of Python/Uvicorn
- Root README: Update model path references from best_model.keras to model.onnx
- Root README: Add model.onnx to artifact lists and generated files
- Root README: Update troubleshooting section with Rust-specific guidance
- Machine_Learning/README: Add table of contents entry for ONNX conversion
- Machine_Learning/README: Add Tahap 5 section documenting ONNX conversion with convert_onnx.py and validate_onnx_parity.py
- Machine_Learning/README: Update output table to include model.onnx with Rust ONNX Runtime usage
- apps/ml-service/README: Create comprehensive documentation for Rust Axum ONNX service including setup, endpoints, environment variables, testing, and troubleshooting
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
