SimplyRead

Main Page
Usage
Profile

https://github.com/Lame-Ass-Koreans/SimplyRead https://github.com/Lame-Ass-Koreans/SimplyRead-Backend

Inspiration

According to a survey of US social media users, 30 percent of respondents were using social media 1-2 additional hours per day Even apart from the statistics, we feel our daily lives being impacted by our elongated exposure to grounds of fast, efficient, and stimulating kind of information sharing: our focus time dropping, reading skills lacking

What it does

This website will read sentences or articles, convert difficult words to easier words, and censor bad words.

How we built it

SimplyRead is a three-part full-stack web project.
Frontend: React.js with TypeScript
Backend: Flask(Python) with NLTK as an NLP framework
Database: CouchDB running on Docker

Challenges we ran into

Developing a robust backend API for machine learning Using machine learning to determine the best synonyms with high accuracy Judging and defining what words to convert Realignment of target user base in the middle of the project Time distribution between the components of the project

Accomplishments that we're proud of

Development of modern and intuitive frontend to host our service Development of pipeline for text processing in our Python backend Establishment of visualization methods for user progress

What we learned

We learned how to properly use machine learning systems in react How to cooperate with each other and distribute works properly to finish a project.

What's next for SimplyRead

Extra features that would allow for more personalized use of the website: chose easiness level in conversion depending on your reading skills / addition of image and smart censorship for users of younger age Stronger database that would create better motivation for users to continue reading: friends activity, points system based on synonym quizzes post-conversion Turning off censorship feature