WikiSum

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  yeah

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Inspiration

• wanted to have an easy way to build up to complicated concepts on wikipedia

What it does

• scrapes wikipedia and gives a summary of the requested page
• gives recommendations for more contextual reading or concepts the topic is built upon using the data on the page

How we built it

• API backend where we analyzed the page and implemented a pre trained machine learning algorithms to get the most contextually important wikipedia links

Challenges we ran into

• The wikipedia scraping api is not particularly feature rich so we had to do many work arounds to keep the algorithm fast and still accurate.

Accomplishments that we're proud of

• It actually mostly works

What we learned

• The final steps of putting everything together and doing the hosting is often the hardest part

What's next for WikiSum

• Build way more python APIs using flask because that was super super cool

Built With

• python
• react