Twiftbay
Twitter Gift e-Bay
Project for Major League Hacking Prime Spring Finale 2016
Description
Using textual analysis of personality insights with Watson, we're able to pick the perfect gift on eBay using tweets. It also uses the user's feedback to priority popular items, and increase its likelyhood of showing up on future suggestions list.
Stack
- Twitter API (tweets)
- eBay (platform)
- IBM Watson (personality insight)
- Flask (api server)
- Ember (frontend)
- BeautifulSoup (html parser)
Ops
- Amazon Web Services (hosting)
- Elastic Beanstalk (deployment)
- RDS (managed relational database)



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