Note-ing Hill: A Note-Making Application

Abstract

This paper provides an insight into the approaches taken for the development of the application - ‘Noteing Hill’ that aims to optimize the task of taking down notes in a classroom and make it more efficient. This application involves the following components: speech-to-text transcription, image to text conversion and text summarization, collectively supported by a cloud back-end(AWS). For speech-to-text transcription AWS’ transcribe feature was employed while image-to-text conversion (more formally, OCR - optical character recognition) was performed with the help of the Tesseract engine and finally, for text summarization, the extractive approach of the Text rank algorithm was used.