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  • IIT Madras
  • Chennai

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  1. Fault-Detection-and-Diagnosis-with-XAI Fault-Detection-and-Diagnosis-with-XAI Public

    This python script developed approach which uses various Explainable AI techniques to interpret the results given by fault detection and diagnosis model for Air Handling Units.

    Jupyter Notebook 8 3

  2. L_T_EduTech_Hackathon_at_SHAASTRA_IITM L_T_EduTech_Hackathon_at_SHAASTRA_IITM Public

    Cracks in bridges is major concern. This project uses deep learning framework with transfer learning to develop crack detection model.

    Jupyter Notebook 1

  3. FDD-with-Decision-Tree FDD-with-Decision-Tree Public

    In this project, fault detection and diagnosis model with decision tree is developed based on ASHRAE RP 1312 data. Rules generated by decision tree can be verified with domain expertise.

    Jupyter Notebook 1 2

  4. XAI-Based-ECG-Diagnostics XAI-Based-ECG-Diagnostics Public

    In this project, deep learning model for ECG signal classification is developed. Using SHAP, outputs given by model are explained.

    Jupyter Notebook 1 1

  5. ECG-SHAP ECG-SHAP Public

    1

  6. Crack-Detection-App Crack-Detection-App Public

    This app aims to detect cracks in the wall, with the help of Deep learning framework

    Python