End-to-end waste product classification system using transfer learning (VGG16) and Flask for real-time image inference.
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Updated
Jan 11, 2026 - Jupyter Notebook
End-to-end waste product classification system using transfer learning (VGG16) and Flask for real-time image inference.
AI-Powered Document Assistant | Multimodal Processing (PDF + Images) | Enterprise Automation Demo | Proven ROI: 2,670% | Professional ML Portfolio
PyTorch CLI: compare pretrained CNNs (AlexNet/VGG/ResNet); writes results.csv.
Fine-tuned Stable Diffusion XL for ukiyo-e art on an 8GB GPU — Hyper-SD fast mode, ControlNet, LoRA training, NF4 quantization, live Cloud Run demo, and a self-corrected CLIP-blindness study.
AI Computer Vision Detection | YOLOv8 Object Recognition | Real-time Processing | Manufacturing ROI: 5,078% | Professional ML Portfolio
Synthetic-data ML portfolio prototype for logistics driver matching, top-five ranking, FastAPI serving, Streamlit demo, and pytest testing.
Проект: спутниковый мониторинг рисовых полей и прогноз урожайности через Sentinel-2 + LightGBM + Streamlit
End-to-end movie recommendation system using collaborative filtering and matrix factorization (SGD) on the MovieLens 100K dataset.
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