/Solarify

Machine learning approach to detect dust on solar panels in UAE a contribution toward optimizing cleaning plan.

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Omdena UAE Chapter

Machine Learning Approach to Detect Dust on Solar Panels in UAE. A Contribution toward Optimizing Cleaning Plan

Contribution Guidelines

  • Have a Look at the project structure and folder overview below to understand where to store/upload your contribution
  • If you're creating a task, Go to the task folder and create a new folder with the below naming convention and add a README.md with task details and goals to help other contributors understand
    • Task Folder Naming Convention : task-n-taskname.(n is the task number) ex: task-1-data-analysis, task-2-model-deployment etc.
    • Create a README.md with a table containing information table about all contributions for the task.
  • If you're contributing for a task, please make sure to store in relavant location and update the README.md information table with your contribution details.
  • Make sure your File names(jupyter notebooks, python files, data sheet file names etc) has proper naming to help others in easily identifing them.
  • Please restrict yourself from creating unnessesary folders other than in 'tasks' folder (as above mentioned naming convention) to avoid confusion.

Project Structure

├── LICENSE
├── README.md          <- The top-level README for developers/collaborators using this project.
├── original           <- Original Source Code of the challenge hosted by omdena. Can be used as a reference code for the current project goal.
│ 
│
├── reports            <- Folder containing the final reports/results of this project
│   └── README.md      <- Details about final reports and analysis
│ 
│   
├── src                <- Source code folder for this project
    │
    ├── data           <- Datasets used and collected for this project
    │   
    ├── docs           <- Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams.
    │
    ├── references     <- Data dictionaries, manuals, and all other explanatory references used 
    │
    ├── tasks          <- Master folder for all individual task folders
    │
    ├── visualizations <- Code and Visualization dashboards generated for the project
    │
    └── results        <- Folder to store Final analysis and modelling results and code.

Folder Overview

  • Original - Folder Containing old/completed Omdena challenge code.
  • Reports - Folder to store all Final Reports of this project
  • Data - Folder to Store all the data collected and used for this project
  • Docs - Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams.
  • References - Folder to store any referneced code/research papers and other useful documents used for this project
  • Tasks - Master folder for all tasks
    • All Task Folder names should follow specific naming convention
    • All Task folder names should be in chronologial order (from 1 to n)
    • All Task folders should have a README.md file with task Details and task goals along with an info table containing all code/notebook files with their links and information
    • Update the task-table whenever a task is created and explain the purpose and goals of the task to others.
  • Visualization - Folder to store dashboards, analysis and visualization reports
  • Results - Folder to store final analysis modelling results for the project.