A hackathon submission
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.
.
├── 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