Smart Depart App - AngelHack 2015 - HP Prize Winner
Currently it is integrated with TFL, but we plan to start integrating it with National Rail, traffic and weather data too.
The client is an iOS app written by Ollie, and links in with the backend which is written in Node.js
Smart Depart is also integrated with HP OnDemand IDOL, where we used Sentimant analysis API.
We used this tool to analyes multiple body's of Tweets, fetched from witin a given time frame and Tweeting about a particualr London Undergraound line. This enables us to determine whather the general attitude towards each undergraoud line is positive or negative and apply an extra layer of contextutal information to our application.
Smart Depart won 2nd overall at AngelHack and won the HP sponsor prize.
Hackathon.io page: http://www.hackathon.io/projects/7417
Trello story board: https://trello.com/b/DIE2RuFO/smart-depart
All the code written was open source:
We created several open source node modules that we also published over the weekend too
TFL Journey Planner: https://github.com/Lissy93/node-tfl-journey-planner
Live TFL line sentiments: https://github.com/Lissy93/london-underground-live-sentiment-analysis
View web portal: http://smart-depart.herokuapp.com/
Sentiment Analysis: http://smart-depart.herokuapp.com/sentiment-analysis
More about AngelHack Londno
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| Ollie and I a few hours in |
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