Sparsh Bajaj's Projects
Encrypt, Decrypt and Crack Vigenรจre Cipher
API that gathers data provided by 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE.
Throughout the financial sector, machine learning algorithms are being developed to detect fraudulent transactions. In this project, that is exactly what we are going to be doing as well. Using a dataset of of nearly 28,500 credit card transactions and multiple unsupervised anomaly detection algorithms, we are going to identify transactions with a high probability of being credit card fraud. In this project, we will build and deploy the following two machine learning algorithms:
Organizes files in downloads directory by classifying them into different folders according to their file types. This project is inspired by http://dropit.sourceforge.net/. Written in Python 3.
etherum + ipfs + react
i13ventures interview challenge
Library Management System using Java and MySQL
Integrate Magisk root and Google Apps (OpenGApps) into WSA (Windows Subsystem for Android)
Music for every mood.
My Portfolio 2020 Website.
This project is a web application built using ReactJS and styled with TailwindCSS. It utilizes APIs and JSON to fetch and display dynamic content. The project showcases the ability to create a modern and responsive user interface while integrating with external data sources.
This is just a repo to store and serve images to my portfolio website.
Config files for my GitHub profile.
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
Designed and developed a webpage for Weavaite Interview Challenge