Nowadays, security is only as good as you make it. The PDFs we have today can be signed by just about anyone without any real sort of evidence that they were in fact the person who signed it. How can we really know if documents were signed by Joseph Song or Cassidy Williams? With Sincerely, we're able to train signature models to be able to accurately and verifiably predict whether it was the person who signed it or not.
What it does
Sincerely uses Wacom's Will SDK to take a signature from a user, saves it as an image on imgur, and uses Clarifai's machine learning technology to train and store the model. Once this information is stored, anyone can then use Sincerely to securely sign a document.
How I built it
Challenges I ran into
Initially, the first hurdle we had to overcome was Wacom's SDK and trying to run the samples. But once that was done, we found the Wacom, although could still use a few improvements, had much to offer.