This project was developed for a teacher in a university. This project basically analyzes the text you have entered in the GUI text area, and then by using the trained model it returns whether or not the entered text is hate speech or not. This project uses the famous machine learning model known as “Logistic Regression”. The backend of this project is built in python while for the graphical user interface, “TKinter” library is used.

This project encompasses an approach of digital banking website that allows user to receive, transfer amounts to other people accounts. Moreover, this website also allows people to open their digital bank account without any lengthy procedures.

This is online-recipe finding project which uses "https://www.twine.net/signin online API to:
1)GET All Recipes.
2)Upload(POST) a recipe.
3)GET a certain recipe using a search keyword

The project is built in the following technologies:
->HTML5
->CSS
->Javascript
->Parcel

The user can simply search recipes, upload new recipes and bookmark a certain recipe.

I was tasked to develop a tourist websites where users can browse tours and buy them. Moreover, users can also sign up if they are new to the website or they can login if they already have an account. The project was built on MERN stack with proper authentication using JSON web tokens. Moreover, the payment method that was integrated in the website was “Stripe” and “Google Play”. The database that was used to store users details, tour details in this project was the famous “MongoDB”. The front-end of this project was built in “PUG Templates”. RESTFUL API is used to fetch all the data.