WiseElect

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  WisElect

Inspiration

Being able to exercise your voting right is the most important part of democracy. We often form a hype for high-level politicians, but don't think about our state representatives and other local political contest. Our friend informed that he voted for a representative only because their name had Mailman in it. Is that fair?

What it does

Our tool harnesses the power of machine learning and sentiment analysis to rank politicians based on key issues.

How we built it

We used the flask web framework to form a web-enabled application that uses IBM watson sentiment analysis to find out what a politician's stance is

Challenges we ran into

Trying to integrate two different API into a single platform and make them play well was the biggest challenge that we had.

Accomplishments that we're proud of

We were finally able to get sentiment analysis working using web scraped data and produced relevant information for the user.

What we learned

how to use web API's, and Developing web applications.

What's next for WiseElect

We want to train the sentiment analysis algorithm to more accurately predict the politician's stances on different issues

Built With

• bluemix
• css
• flask
• google-civic-information
• html
• ibm-watson
• javascript
• jinja
• jquery
• machine-learning
• materialize
• scraping
• sentiment-analysis-online
• sqlite
• visualization