The amazing Machine Libraries that are now widely available and attainable.

What it does

Analyzes your document to surface relevant data from medical and scientific journals, as well as Wikipedia and news media.

How we built it

In 24 hours! Just 2 of us, no sleep.

Challenges we ran into

Microsoft API was difficult to use and understand.

Accomplishments that we're proud of

Finished a working prototype with only 2 people.

What we learned

To better respect the "M" in MVP.

What's next for Helix

Build out the algorithm, allowing the surfacing of relevant data from more sources. Eventually, reveal factual errors and allow you to analyze documents for key concepts.

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