Hi, I'm Janit.

I'm in my third year of undergrad, majoring in Computer Science with minors in Economic Data Analysis and Mathematics. I have hands-on experience with Machine Learning techniques and enjoy working on applications that leverage data-driven insights to solve real-world problems.

I'm also interested in research, particularly in cybersecurity, where I'm delving into key challenges and contributing to the development of practical solutions.

The Designer's Touch

ReactNode.jsThree.jsExpressFirebaseAWS

A creative platform where users can design custom t-shirts and other merchandise, with a real-time 3D preview.

Emoki

React NativeNode.jsSQLiteExpressFlaskFirebaseMongoDB

An emotion tracking app that aggregates users' emotions over time, helping them understand their emotional patterns.

Baagchal

Next.jsNode.jsSocket.ioMongoDBAzure

A digital implementation of the traditional Nepali board game Baagchal, featuring multiplayer functionality and real-time gameplay. The website is currently live at www.baagchal.com.

Guess The Nepali

Next.jsNode.jsMongoDB

A fun and interactive game that challenges players to guess Nepali people's ethnicities. Made as a tribute to the cultural diversity in Nepal. The website is currently live at www.guessthenepali.com.

PonPon

ReactTypeScriptTauriNode.js

A small and cute pomodoro timer that occupies a small portion of your screen. The code is available at https://github.com/aniJani/PonPon.

Speed Reader Trainer

Next.jsNode.js

A speed reading trainer that helps users improve their reading speed and comprehension. The website is live at https://speed-reader-trainer.vercel.app/.

Infolaya

Next.jsNode.jsFastAPIMongoDBFirebase

A no code Data Processing and Visualization platform that transforms complex data into recommendations and insights allowing users with no technical expertise to easily analyze and visualize their data. The website is currently live at www.infolaya.tech.

Calorie Tracker

React NativeNode.jsSQLite

A mobile app with a very simple interface that helps users track their daily calorie intake.

Publications:

Divine Precious-Esue, Janit Rajkarnikar, Brian Bellrose, et al.

Ensemble Machine Learning Approach to Phishing Website Detection

Computers and Their Applications (CATA), Springer CCIS, 2025

DOI: 10.1007/978-3-031-92178-0_8