Inspiration
As students, we looked at certain issues that we have faced in our daily studies. One of the biggest challenges is finding efficient ways to learn lecture notes. We either spend a lot of time writing flashcards and use them for a few days, or we just keep reading our notes without actually memorizing them. We wanted to solve that issue by making reviewing lecture notes simpler.
What it does
The user imports a .txt file which is analyzed by Google Cloud Natural Language API. Then, the text file will go through 3 different processes. The first one is a summary made of the most relevant sentences. Next, StudyBuddy creates "smart" questions based on the summary and the syntax of the sentences. Finally, the entire text will be transformed into a fill-in-the-blanks kind of exercise.
How I built it
We used the Eclipse IDE with Java. We also used libraries from Google Cloud (Natural Language).
Challenges I ran into
We ran into quite a lot of challenges. The biggest one was a way to make our product come to life in just a few hours. We thus had to scale down our vision given our abilities and skills. When we started to get some results, we also had to keep the flow going.
Accomplishments that I'm proud of
We are proud of getting tangible results that are quite useful and close to what we wanted. We are proud of using a Google API because we wanted to do that since the beginning.
What I learned
I learned how to coordinate the different sections of our code. We also learned a lot about the Google Cloud API, salience analysis and the English language to make relevant questions.
What's next for StudyBuddy
We wanted to add at first a Google Home interface where what was created with StudyBuddy would be accessible as a Google Home Action. Eventually, we would love to see our software deployed on mobiles.
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