A diff tool for the modern world.
A prize category!
∆diff: calculates a blob diff of two files. Unlike in "standard" diff, there's no preference given to lines. Output is in JSON.
By normalizing input and computing changes against known texts, you can use ∆diff to calculate the likelihood that a certain text is plagiarized
Python should work. Looking up how speech can be transformed to text. Almost ready to deploy.
Got the server up, storage is mounted, and now figuring out how to implement Python on Google Cloud.
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Server is up and running.
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Researching how to use buckets and storage in Google Cloud Platform.
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Waiting to ask about the Google Speech API and the use of buckets.
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