01
2025
Seismic Risk
— CV pipeline for building typology classification — ITB thesisSolo engineer, end-to-end
Microservices backend for geospatial seismic risk assessment. YOLOv11 models classify building typologies; an integrated annotation platform replaced third-party tools and cut manual labeling effort by 40%+.
- 01Microservices backend with FastAPI + PostgreSQL/PostGIS for geospatial data management
- 02Trained and deployed YOLOv11-based CV models for building typology classification
- 03Custom MLOps workflow with model versioning and rollback support for reproducible experiments
- 04Integrated annotation platform with pre-annotation that reduced manual labeling by 40%+
- 05AI predictions fed into a seismic risk simulation covering 10,000+ buildings region-wide
PythonFastAPIPostgreSQLPostGISYOLOv11PyTorchDocker
[SEISMIC RISK · diagram]
░ system architecture ░
buildings
10k+
labeling ↓
40%+
model
YOLOv11