It solves the problem of manual analysis of multi-platform feedback mechanism.To solve the struggles of growing your channels across different platforms.

describe what can people use it for, or how it makes existing tasks easier/safer e.t.c (markdown supported)

The problem it solves

Problem faced :
ML side: Sarcasm Accuracy 
Overfitting 
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 UX Challenges 

tell us about any specific bug or hurdle you ran into while building this project. how did you get over it? (markdown supported)

Challenges we ran into

Hack The Mountains

Bootstrap

Heroku

Python

GitHub

Gulp

ML Model

UI-vanillaJS

LSTM-Keras

Qui-Grow

Neutrino

Qui-Grow

Smart Public Comment Analyser and Quality Improvement scope extractor

Qui-Grow

Smart Public Comment Analyser and Quality Improvement scope extractor

The problem Qui-Grow solves

Challenges we ran into