Created two separate DAGs (Direct Acyclic Graph) for data collection and data aggregation of the COVID 19 statistics in India. Created DAG dependencies within the airflow scheduler.

Created a Pomodoro Clock website by using the python flask and deployed the same on the AWS cloud using the AWS EC2.

Strong Password generator developed using python. Used Python Flask for backend and basic HTML, jinja templating along with flash messages.

ML model developed using Python to predict the flight price based on different features. Used the Random Forest Algorithm to solve this particular problem.

A scraper that gives information about COVID-19 current situation in all the states of India and writes that data into a CSV file.

A scraper developed using Scrapy Framework which scrapes date, time, match, venue name, cricket series name, and stores the data into a CSV file which can be used by people who are unaware of upcoming fixtures in cricket. It displays all the upcoming games which are announced by their respective cricket boards.

Created a Pomodoro Clock website by using the python flask and deployed the same on the AWS cloud using the AWS EC2.

Strong Password generator developed using python. Used Python Flask for backend and basic HTML, jinja templating along with flash messages.

ML model developed using Python to predict the flight price based on different features. Used the Random Forest Algorithm to solve this particular problem.

A scraper that gives information about COVID-19 current situation in all the states of India and writes that data into a CSV file.

A scraper developed using Scrapy Framework which scrapes date, time, match, venue name, cricket series name, and stores the data into a CSV file which can be used by people who are unaware of upcoming fixtures in cricket. It displays all the upcoming games which are announced by their respective cricket boards

We can scrape statistics of multiple YouTube channels to automate seeing subscribers, watch hours, number of videos of that channel and store that data into CSV. Used requests, CSV and BeautifulSoup library for the same. The scraped data is publicly available.

Displays the user with the latest sports news of a Marathi newspaper's RSS Feed and also shows the author name, published date and content of news. Utilised a Python feedparser module. The user can read sports news directly after running one script which takes a maximum of 5 seconds to run.