hackforla / hackforla/lucky-parking

Create method to turn coordinate or address into easy to understand parking regulations and recommendation

Open
#411 0 comments 0 reactions 1 assignee Claimed by @gregpawin View on GitHub
complexity: large feature: new feature ideation missing: milestone priority: low role: data scientist size: 5pt type: enhancement
Dominant language
Jupyter Notebook
Stars
37
Forks
60
Avg merge
13h 32m
Merged PRs (30d)
5

Description

### Dependencies
None

### Overview
Turn an inputted address, or coordinate into easy to understand parking regulations and recommendations. We can take a location and return its citation history since 2015 and give the most likely parking citation regulations as well as parking recommendations.

### Action Items
Need to understand how to handle address input and geocode them, best radius for analysis, determine whether or not data is clean enough, how to turn aggregated citations data into parking regulations and recommendations.

- [ ] Understand how current map geocodes addresses
- [ ] Determine whether or not data is clean enough
- [ ] Turn citation data into parking regulations and recommendations

### Resources/Instructions

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.