I am a student pursuing bachleors of Computer Science at Universiy of Idaho, at Moscow, IDAHO, USA. I passionate about .....
Hello. My name is Shashwot Niraula. I am a student pursuing bachleors of Computer Science at Universiy of Idaho, at Moscow, IDAHO, USA. I passionate about travelling and enjoying nature.
🖥️ As a computer science enthusiast, I've built a robust foundation in programming and am continually hungry for knowledge in emerging technologies and innovative methodologies.
My ultimate goal is to bridge the gap between computer science and the fascinating world of Geography and Remote Sensing.
🌍 Beyond the classroom, I am an explorer of the natural wonders that surround us. You'll often find me venturing into the
great outdoors, embracing the beauty of Mother Nature. Whether I'm hiking in pristine landscapes, engaging in a spirited game of
tennis, or enjoying leisurely strolls and invigorating runs, I'm in my element when I'm outside.
🌟 Let's connect and embark on this exciting journey together, blending technology and nature to make the world a better place.
Feel free to reach out for discussions on computer science, GIS, outdoor adventures, or anything that piques your curiosity. 🚀
Tracker is a script that tracks the price of a specific stock and sends an email notification when the price reaches a certain threshold.
This is a project about Airport Flight Display System that uses React for the frontend, Node.js for the backend, and a Datastax Astra DB (built on Apache Cassandra) for the database.
VOiC is a modern web-based document management system that enables secure creation, sharing, and updating of digital documents while ensuring privacy and provenance through role-based authorization.
Pong is a classic and iconic video game that has stood the test of time as one of the earliest arcade games ever created. Developed by Atari in 1972, it is a simple yet engaging two-player game that laid the foundation for many future video games. Made in Unity with C#.
This project uses Machine Learning Algorithms to analyze Spotify and YouTube data, offering personalized song recommendations and exploring trends in song popularity over time.