Noteracy

Express.js

Node.js

MongoDB

React.js

Passport.js

HTML

CSS

Noteracy is an all-in-one solution for seamless note-taking and organization.

backend was developed following REST API principles, utilizing Express.js, Node.js, and MongoDB for data storage
Created the frontend with React.js and implemented secure authentication using Passport.js with google-oauth-20 strategy and deployed using cyclic.sh
Designed an attractive and functional user interface for note creation, updates, deletions, and efficient search

Quizton

React.js

HTML

CSS

Javascript

A website to check your Knowledge on various topics like Computer Science, Mathematics, Sports, History, and Animals .

Question data is obtained form Open Trivia Database API
Uses tokens gernerated by opentdb's API to access new set of questions each time

Portfolio

React.js

HTML

CSS

Javascript

A Porfolio for my academic information, projects etc

Fully Responsive Website, designed and implemented using React.js
Deployed using the Netlify platform

Depression using Twitter

Machine Learning / Deep Learning

pandas

numpy

scikit-Learn

Keras

SNScrape

Vader Sentiment

Analysing Depression Patterns on Twitter and Comparative Study between Developing and Developed Countries

Extracted data using SNScraper and processed it for training
Models like Bi-LSTM with attention, lightGBM and others were used with WAE for classifcation of previously unseen data.
Using predicted classifications we compared the Depression prevalence among Developed and Developing Countries

Emotion Detection

PyScript.js

sklearn

pandas

python

React.js

HTML

CSS

Detect Emotions like Joy, Sad, Anger, etc from texts using Machine Learning

The website uses machine learning, specifically Scikit-learn's LinearSVC
It's trained on data from thecleverprogrammer.com and uses a tfidf vectorizer with 2-gram feature extraction
Accuracy : 61 %

jamal474

Projects

Web Dev.

ML

Noteracy

Quizton

Portfolio

Depression using Twitter

Emotion Detection