1. Predicted bill clearance date from the data set.

2. Mean accuracy of more than 80% was observed.

3. The project is on the verge of being a Full Stack Web Application using JDBC and ReactJS.

1. Designed a Text Operations based React.js web application.

2. React Router Dom was used for smooth navigation.

3. Advanced functions were embedded for operations on the text.

1. Designed a Live News App using ReactJS.

2. Fetched the news using newsapi.

3. Loaded features such as Loading bar and Infinite Scroll

1. Designed a full stack cloud based application using MERN Stack.

2. Login and sign-up system is enabled using MongoDB.

3. Live updates can be done within the application by users.

4. API’s will be added for more convenience.

Deployed a Machine Learning model using Python to predict credit clearance of customersin form of an end-to-end SaaS backend code with up to 85% correct prediction.

Built a B2C commercial news web application using React.Free Newsapi was used to fetch real-time news with up to 100 fetches per day3 Ad-configured spaces per page are integrated for revenue generation purposes.