Full-stack social media application that allows users to post their feeds and ranks the post according to upvotes and downvotes, with infinite comment threads and much more.

Python script for telegram bot that capable to scrap the data from amazon and notify you when there is decrease in price of the product. As there is no direct way to get product details from amazon, this bot uses rotation proxies, headers, cookies and much more to avoid being temporary banned from amazon. This bot is valid for all countries amazon website (i.e. .com, .in, .it, .co.uk etc)

Simple Deep Learning model that solves captcha using Convolutional Neural Network (CNN) with Pytorch Framework

Machine Learning model for Fake News Classification based on given data using Naive Bayes Algorithm. Data is scraped from twitter and some other websites.

Simple Machine Learning Model made using Voting Classifier (with Naive Bayes + Support Vector Classifier + Gaussian naive Bayes). It is Binomial Classification Problem, so it detects whether the text is spam or not

Machine Learning Model that predicts whether the comment/text you entered is toxic or not.