Inspiration
As college students, we always find ourselves with massive amounts of information to study and not enough time to go through it all. The inspiration for this project was to use IBM Watson and Text Analytics to help students with their test preparations.
What it does
In essence, S-Buddy takes a recording of a lecture and returns to you the key words, terms, and phrases you should focus on as well as providing you with additional resources to study up on.
How we built it
We used the IBM Watson API to transcribe submitted audio files to text and sent it to a Text Analytics API to return a list of keywords and phrases. These phrases could then be used saved for later onto your account using the user system we implemented with mongoDB.
Challenges we ran into
We ran into alot of problems with making the API work with Python as we got it to work through requests from the console. For that reason, this is still a work in progress that needs to be completed to fit the website shell we built for it.
Accomplishments that we're proud of
-Made a flask app that is able to run the site and handle requests for registration and logging in
-Used the mongoDB cloud database solution in which we store users and their hashed passwords.
-Semi-responsive website that can be further expanded on
What we learned
-Flask, mongoDB, and refresher of bootstrap
What's next for S-Buddy
-Fully implement the API functions using Python.
-Expansion of the websites.
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