To bridge the gap in communication between professors and students caused due to difference in native languages and to provide facilities for disabled students to learn in classrooms easily.
Live translation of professor's lecture for students who speak different languages.
How we built it: Using AI and ML services provided Amazon Web Services such as Amazon Transcribe, Translate and Polly. Also used EC2 and S3 buckets. Language used: Java
Challenges we ran into: Learning Transcribe , not enough time for Braille Translation, requirement of appropriate hardware.
Accomplishments that we're proud of: Integration of such diverse services in a short span of time
What we learned: Working with Amazon Web Services, how to work with stepper motor