Dhivas Sugumar
Projects
Projects
Below are some of the projects I have worked on or are currently working on. They range across disciplines - from web applications, to mobile apps, to data scripts.
Jan 2023 - Present
New Project
Coming soon! Keep an eye out ...
August 2024 - August 2024
Personal Site V2
Personal Site V2 is the site that you are currently viewing. The design motif was inspired by nature, in particular the night sky, forests, and the ocean. The site design also contains pieces of my own personality and interests.
Typescript
React
Next.js
Tailwind
HTML
CSS
Vercel
July 2024 - July 2024
Mind Mood
Mind Mood is a user-friendly app designed to help you take control of your emotional health. With features like mood logging, self-care reminders, music recommendations, and access to mental health resources, Mind Mood supports your mental well-being in a comprehensive way.
Java
Firebase
Gradle
Apr 2024 - May 2024
Pizza Party
Pizza Party was a game inspired by the popular pizza making game Papa's Pizzeria. The game was added to the Covey.town site that allows users to navigate and interact in a pixel art virtual world.
TypeScript
React
Phaser
Express
MongoDB
Nov 2022 - Feb 2023
Personal Site V1
Previous iteration of the portfolio site. The design motif was inspired by minimalism and a neutral color palette. Used animation to create visually more appealing user experience
Typescript
React
Next.js
Framer Motion
HTML
CSS
Vercel
Dec 2021 - Jan 2023
Minerva
Minerva is a web application that created a platform allowing users to create their own courses and enroll in courses made by others. These courses combining both video, audio and text deliver users with informational content on a variety of topics.
Ruby
Rails
Bootstrap
PostgreSQL
JavaScript
HTML
CSS
Heroku
Google Cloud Platform
August 2021 - Present
Data Viz
Data Viz was a custom vizualization designed to meet the needs of the MHealth Research Lab at Northeastern University. The script was custom built from scratch to data wrangle and visualize 2000+ raw csv with a total size of 1GB+ containing data like sendentry, heartrate, sleep from health smart watches. Aided in the doctoral thesis of a PhD student at the lab.
Python
Pandas
NumPy
pillow
Jupyter Notebook