During my undergrad course in Computer Engineering, I've done a number of academic and personal projects. These projects helped me become a better programmer.

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1) Application of Convolutional Neural Networks to detect gravitational waves

• Technologies used: Python, Tensorflow, Matplotlib

• Used time-series data from LIGO observatory to build a machine-learning model that detects gravitational waves

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2) Whatsapp web crawler to gauge online presence on the app

• Technologies used: Python, Selenium, Matplotlib

• Used Selenium to scrape data from Whatsapp web in real-time to detect when a person is online or not. Further analysis was done on the data upon collection.

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3) Amazon scraper to get price updates

• Technologies used: Python, SMTP, Selenium

• Used Selenium to get updates in changes of prices in real time.

• Led me to buy my laptop at a huge discount.

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4) Application of Dynamic Time Warping for LULC analysis

• Technologies used: Python, Eel, Jinja

• Used Dynamic Time Warping (a signal processing technique) to analyze time-series data gathered from the Landsat 2 satellite.

• The analysis resulted in a classification of geographical regions in India based on Land Use and Land Cover (LULC).