Data-Science

DS5 Unit 3 Sprint 4 Build Week

Product

https://safe-routes-web.netlify.com/

Deliverables

Product page
https://safe-routes-web.netlify.com/
User app
https://safe-routes-bw.netlify.com/
Model app
https://saferoutes-pred.herokuapp.com/api
Test Model API
https://colab.research.google.com/drive/1d7uE8BwwSO3MTfP4IYoV0e12Qj2v-6jv?authuser=2#scrollTo=zNP_9hb4wzB2&line=16&uniqifier=1
Model Document
https://docs.google.com/presentation/d/19ohX7Z7n3_ceqARKsa24lve2dwQvbdDQ-egS9kRfl8s/

Project Description

PROJECT NAME
Safe Routes

DESCRIPTION
Pitch:
What are the most dangerous intersections in the city|state|country

MVP:

1. Address / Intersection input field
2. Interactive Map showing crash statistic for a given intersection
3. Show historical crashes on the map for given time period
4. Create a model that predicts the chances of a car accident at a given intersection
5. Visualization should indicate the likelyhood of crashes at different locations
6. MVP should have a limited geographic scope

Stretch:

1. Ask user to use their location, if available.
2. Expand geographic scope of the map
3. Create a model that predicts where the next accident is most likely to occur.

DESIGN LINKS / DATA SETS
ftp://ftp.nhtsa.dot.gov/fars/

TYPE
Data Science Hybrid Apps (Ready for Students)

Information

Project Management
https://trello.com/b/Q5YQKiWT/safe-routes-build-week

Fatal Accident Reporting System (FARS)

Build Week Project List
https://airtable.com/shrTu9WiPg1hCIpob/tblMNrPfYRLxxtvPZ

Full Time - Build Sprint: Culture Document
https://www.notion.so/19e679fc1a284b668d8132dd8d7228cd

Product Canvas Questions
https://docs.google.com/document/d/1oGA80zlszkuWQwEnv8FdomVXvNFQVV307uh-Ug2pKIg/

Using Machine Learning to Predict Car Accident Risk
Daniel Wilson May 3, 2018 · 12 min read
https://medium.com/geoai/using-machine-learning-to-predict-car-accident-risk-4d92c91a7d57

Predicting Hard Drive Failure with Machine Learning
October 26, 2018 · 8 min read
https://neurospace.io/blog/2018/10/predicting-hard-drive-failure-with-machine-learning/

Logs

2019-08-23 repo created
2019-08-24 synchronized this repo with project repo. added both as remote destinations.
2019-08-25 meeting at 1 pm (central)
https://www.notion.so/Sunday-August-25-0a59c413fc2449b5a89d73a1540638eb
2019-08-26 backend api example
https://github.com/safe-routes/Build-SafeRoutes-BE
2019-08-27 create database on Heroku by JavaScript
https://github.com/Build-Week-Safe-Routes/Backend/blob/temporary-seed/data/migrations/20190827091712_createAccidentsTable.js
2019-08-27 random forest model created and evaluated
2019-08-28 model flask app deployed on Heroku

Marketing Page and UI