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sagerkudrick/README.md

Privacy-Preserving Image and Text Classification with AI

Witness an innovative application of Differential Privacy in conjunction with state-of-the-art Machine Learning models here.

  • Demonstrates the fusion of Differential Privacy with modern Machine Learning, focusing on the MNIST dataset for digit classification.
    • Achieves high accuracy in predictions while safeguarding data privacy.
    • Shows how differential privacy enhances model security without compromising performance.

Flask/React Game Catalog

Explore my Flask/React Game Catalog project here.

  • Developed a Flask API with endpoints for seamless filtering and CRUD operations on an SQL database.
  • Engineered a React frontend in JavaScript to showcase data from the Flask API, enabling users to execute CRUD operations instantly.
  • Deployed to a cloud Linux server for 24/7 operation using PuTTy, OpenSSH, and FileZilla.

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