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ReadAssist makes learning interactive by providing options to summarise text, generate questions on a text and convert any text to speech. It also sends this to the user via email. Submission for HACKNITR2.0

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NVombat/ReadAssist

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Read Assist

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Description

Read Assist

This particular web application has been designed from scratch to facilitate effective reading and studying from long texts. The application has a user friendly interface that requires the user to login and upload the text that is to be read / studied.

The Optical Character Recognition (OCR) technology converts an image input to text. Thereafter various machine learning modules such as speech conversion, summarisers and question generators provide the user options to summarise the text, show questions based on the text or read out the text.

Problems it solves

  • We think our project makes comprehending texts and studying for examniations very effective as it provides the users with a set of questions to prepare from.
  • The software also sends an email to the user with multiple questions and a summary of the text they uploaded giving them access to information even after the session has ended.

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System Diagram

system-design

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Tech Stack

ML :
  1. Deep Learning
  2. Transformers
  3. NLTK
  4. Pytorch
  5. OCR
Frontend Tech Stack :
  1. HTML/CSS
Backend Tech Stack :
  1. Python
  2. FastAPI
  3. Uvicorn

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Preview

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Contributors

Nikhill Vombatkere

Rusali Saha

Mimansa Sharma

Rusali Saha

Oishwarjya Banerjee

Rusali Saha

Sanah Sidhu

person

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About

ReadAssist makes learning interactive by providing options to summarise text, generate questions on a text and convert any text to speech. It also sends this to the user via email. Submission for HACKNITR2.0

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