Tax allocation-system creation allowing hyperlocal government investment into targeted sustainable developmental solutions
https://www.change.org/p/democracy-evolution-ensuring-humanity-s-eternal-existence-through-taxdirection/dashboard?source_location=user_profile_started
https://omdenadocs.notion.site/Kharagpur-India-Chapter-Tax-allocation-system-creation-allowing-hyperlocal-government-investment--667c22f2bdc343c48c5b3e1f8b1bd2fd
- 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.
├── 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
| - raw [MyGov, Twitter, etc.]
| - processed_translation [Python Library suggested: Googletrans]
- processed_ner [skipping as of now]
| - processed_summarize [Python Library suggested: HuggingFace Transformer Model]
| - processed_cluster [input is the summarised data] [Python Library suggested: Bertopic]
│
├── docs <- Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams.
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├── references <- Data dictionaries, manuals, and all other explanatory references used
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├── tasks <- Master folder for all individual task folders
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├── visualizations <- Code and Visualization dashboards generated for the project
│
└── results <- Folder to store Final analysis and modelling results and code.
- 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.