/SmartElevator

AI sytem to Analyze and make Fault prediction in your elevator

Primary LanguageJupyter Notebook

Smart elevator

AI sytem to Analyze data and make Fault prediction of your elevator

Why and What

Everythink in the report.

Glances

Outlier removal

Data generation

Noise addition

Data visualization with pairplot

Model prediction SVM and KNN

Multi-model prediction

Ensamble with new cost function

Who

  • Davide Cappellaro, Data Engineer, Master student in Data Science, Bachelor degree in Interfacce e tecnologie della comunicazione
  • Dimitri Vinci, Master student in Artificial Intelligence System, Bachelor degree in Informatics
  • Giorgia Rossato, Master student in Mathematics and Statistics for Life and Social Sciences
  • Jhonny Hueller, Master student in Artificial Intelligence System, Bachelor degree in Informatics
  • Marco Di Francesco, Junior Data Scientist at FBK, Bachelor student in Computer Science

How

Insallation steps:

  • Install the Linux package python3.9-dev (to build scikit-survival)
  • Install Python packages from requirements.txt

Usage:

  • Run the notebooks 0 .. 9