Inspiration
Help women to be inspired by what other women are doing to promote gender equality and find other women who has similar experience
What it does
Take twitter quotes that are relevant to the keyword search from women role models including Hillary Clinton, Elizabeth Warren etc.
How we built it
We used primarily python to scrape tweets from several twitter accounts. Then used a JSON thesaurus to generate word scores for each tweet and store them in a database, where we can search for words similar to what the user is looking for.
Challenges we ran into
Words have different meanings in different contexts, so a lot of quotes seem like odd fits for the given input.
Accomplishments that we're proud of
The quote word-scores are, in some cases, surprisingly powerful. They can come up with tweets that fit inputs where we wouldn't expect to find anything.
What we learned
Natural Language Processing, Python, Git, Apache, Sqlite
What's next for CaptionMaster
Step1. Add a filter to search tweets from certain people Step2. Extend Database
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