End-to-end waste product classification system using transfer learning (VGG16) and Flask for real-time image inference.
-
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
AI Computer Vision Detection | YOLOv8 Object Recognition | Real-time Processing | Manufacturing ROI: 5,078% | Professional ML Portfolio
PyTorch CLI: compare pretrained CNNs (AlexNet/VGG/ResNet); writes results.csv.
End-to-end movie recommendation system using collaborative filtering and matrix factorization (SGD) on the MovieLens 100K dataset.
♻️ Classify waste images into categories using transfer learning and deploy with Flask for real-time predictions, enhancing waste management automation.
Add a description, image, and links to the ml-portfolio topic page so that developers can more easily learn about it.
To associate your repository with the ml-portfolio topic, visit your repo's landing page and select "manage topics."