Handwritten Digit Recognition using Neural Network
Built a handwritten digit recognition tool using Neural Networks. Took the MNIST dataset containing about 70,000 examples and classified them successfully.
I have a passion for using data and common sense to generate simple, implementable solutions to complex problems.
Built a handwritten digit recognition tool using Neural Networks. Took the MNIST dataset containing about 70,000 examples and classified them successfully.
Built and designed a responsive website that enabled users to search and book flights and hotels, provided information about currency conversion rates to ease the process of booking using different currencies.
Designed and developed an Image Processing Application using Java that can be used to apply 6 filters such as greyscale, mosaic, sepia, blur, sharpen and dither to an image without using any external library for applying the filter.
A non-fungible token or NFT is a unit of data that may be bought and traded and is held on a blockchain, a type of digital ledger. NFT data units may be linked with digital files such as photos, videos, and audio. They are of various types, namely Art, collectible, games, metaverse, other, and utility. This project is focused on providing statistical properties of the dataset from the NFT marketplace, “Decentraland NFTs” over the period of January 2018 to December 2021(Size - 20k transactions).