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Neuralix AI Dashboard

A hackathon submission

image

🎒 Tech Stack

Jupyter Notebook Python HTML5

🖥️ Run Locally

Clone the project

  git clone https://github.com/Rajkanwars15/WindmillDashboard

Go to the project directory

  cd neuralix-ai-hackathon-task1

Create a virtual environment

cd waveton/apps/visualization_apps/image_augmentation
python3 -m venv venv
source venv/bin/activate

Install the packages

python3 -m pip install --upgrade pip
python3 -m pip install -r requirements.txt

Run the application

cd src
wave run app

The Wave server should now be running at http://localhost:10101.

Project Organization

.
├── Hackathon_Dashboard                                         <- Resources given by neuralix
│   ├── DashboardReferences
│   ├── Data
│   ├── Notebooks
│   ├── Output
│   ├── PythonPlots
│   └── README.md
├── JupyterOutputs                                              <- Outputs generated in Jupyter Notebooks stored as html
│   ├── difference_between_year_2_and_year_1_.html
│   ├── failures_by_model.html
│   ├── gps_coordinates_visualization.html
│   ├── mean_time_until_failure_by_machine_model.html
│   ├── monthly_sum_of_lv_activepower.html
│   ├── quarterly_summary_of_changes.html
│   ├── stacked_time_series_plot.html
│   ├── time_series_data_with_threshold.html
│   ├── top_3_root_causes_of_failure.html
│   └── turbine_bearings_status.html
├── resources
│   ├── Screenshots
│   └── logo
├── src                                                         <- Working directory of the H2O App
│   ├── app.py                                            <- Python script defining the main functionality of the Wave app.
│   └── cards.py                                          <- Python script defining UI components (cards) for the Wave app.
├── LICENSE                                                     <- Project license
├── README.md                                                   <- The top-level README for developers using this project.
├── Steps.md                                                    <- Steps followed for implementation
└── requirements.txt                                            <- The requirements file for reproducing the analysis environment

Generate fresh structure with

tree -L 2 --dirsfirst

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