Multi-Sports Analytics
A two-pass sports-analysis pipeline combining computer vision, structured data and targeted analysis.
Systems, applied AI, research and hardware. Explore the workflows, algorithms and engineering decisions behind the work.
A two-pass sports-analysis pipeline combining computer vision, structured data and targeted analysis.
ESP32 sensor telemetry, historical water-quality trends and Bi-LSTM analysis in one monitoring pipeline.
TLS evidence collection, ML-assisted configuration risk scoring and actionable remediation.
Layered neural models for network, process and system anomaly detection with interpretable security signals.
Real-time fatigue detection using facial landmarks, eye-aspect ratios and sustained-closure alerts.
Occupancy-aware workspace allocation combining vision signals, booking data and assignment logic.
Turbofan degradation modeling with sequence learning, engineered features and comparative evaluation.
Sentinel-1 temporal features and U-Net variants for tropical deforestation segmentation.
Comparative mammography and histopathology experiments across convolutional, attention and transformer architectures.
Code analysis, candidate refactors and runtime profiling with estimated energy and carbon comparisons.
Multimodal mine-risk analysis combining geotechnical telemetry, geospatial models and a zone-level digital twin.
Interactive exploration of Olympic participation and medals through country, sport and year filters.