Projects

Web Dev.
|
ML
project preview shot
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 render.com
  • Designed an attractive and functional user interface for note creation, updates, deletions, and efficient search
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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
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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
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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
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Emotion Detection
PyScript.js
sklearn
pandas
ML
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 %