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ML Application · Python

AI-Driven-Metamaterial-Foundry

What it is

This repository provides a GUI-driven application for materials discovery that integrates data acquisition from the Materials Project API, feature extraction, a simple neural network model for property prediction, and data storage in a SQLite database. It focuses on establishing a robust data pipeline as a foundation for AI-assisted materials design.

Scored from the code at its last scan, 11 Oct 2026. How merit is scored

Where it counts

  • Machine Learning90%
  • Data Science80%
  • MLOps20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board
  1. 38Signal-DetectionML Application · Jupyter Notebook47.5/100ImplementationSuceveanu Mircea Dan Sandu
  2. 39advanced-clusteringEducational Implementation · Jupyter Notebook46.5/100ImplementationPop Alexandru
  3. 40, shared rankNeural-Cryptographic-Visual-Encoding-SystemTraining Experiment · Python46.0/100ImplementationSuceveanu Mircea Dan Sandu
  4. 40, shared rankAI-Driven-Metamaterial-FoundryML Application · Python46.0/100ImplementationLuiz Cesar Spies
  5. 42constelatiileserifului-ML Application · Jupyter Notebook45.6/100Implementationvlad andrei

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