Read Assist

This is a project made as a Submission for HACK NITR under the Open Innovation Category

---

Table of Contents

Click below to check out our project details.

• Description
• System Diagram
• Tech Stack
• Preview
• Contributors

---

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.

Back To The Top

---

System Diagram

Back To The Top

---

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

Back To The Top

---

Preview

Back To The Top

---

Contributors

Nikhill Vombatkere

Mimansa Sharma

Oishwarjya Banerjee

Sanah Sidhu

Back To The Top