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Inspiration
Generally, students need to make notes from any textual content, summarize the content in order for quick revision. Also, for effective study, a student needs to find possible questions related to the text. SummBuddy is the result of the inspiration to minimize user work of summarizing and generating questions from the text
What it does
SummBuddy takes an input image that contains text, converts the image text into normal text and summarizes the text. It also generates questions related to the text alongwith the answers for that questions
How I built it
Used the following APIs 1) Google Cloud Vision API - Optical Character Recognition 2) IBM Watson - Natural Language Processing 3) Custom Algorithm for generating questions and answers
Challenges I ran into
1) Working out with the two APIs with custom data
Accomplishments that I'm proud of
First HACK:D Working prototype
What I learned
Working with APIs End to end functionality Working under time crunch
What's next for SummBuddy
1) Learning Graphs and Images 2) Getting rid of watermarks and Copyrights 3) Well refined Quiz
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