Skip to content
View adarshajit's full-sized avatar
🦄
Trying new stuff!
🦄
Trying new stuff!

Highlights

  • Pro

Block or report adarshajit

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
adarshajit/README.md

Hey 👋, I'm Adarsh Ajit

⚡️ A Few Quick Facts

  • 🤔   Exploring new technologies and developing software solutions and quick hacks.
  • 🎓   Computer Science and Engineering graduate from FISAT.
  • 🌱   Learning more about Backend Architectures and Frontend Developement.
  • ✍️   Pursuing Graphic Designing as hobbies/side hustles.
  • 👨🏻‍💻   Most of my projects are available on Github.

Pinned Loading

  1. ReqAi ReqAi Public

    With the power of Generative AI, Req Ai will utilise the data in the Business Requirements Document and create easy to understand JIRA tickets for the development teams to use

    TypeScript

  2. omni-peeps omni-peeps Public

    🦄 Omni Peeps: Create custom avatars; React application for generating and customizing unique, hand-drawn avatars using the Open Peeps library by Pablo Stanley.

    TypeScript

  3. context-buddy context-buddy Public

    🤖 Context Buddy is an AI-powered agent designed to understand your codebase deeply

    Python

  4. CS5721-VonNeumann/concert-hall-booking-system CS5721-VonNeumann/concert-hall-booking-system Public

    A web-platform for requesting concert hall for organising a show and booking tickets for scheduled shows.

    Python 1

  5. nyc-yellow-taxi-trip-fare-prediction nyc-yellow-taxi-trip-fare-prediction Public

    🚕 This project analyses NYC Taxi Trip dataset to forecast fare amounts using Apache Spark for large-scale data handling and automated learning workflows.

    Jupyter Notebook

  6. data-mining-spotify-tracks data-mining-spotify-tracks Public

    🎸 Data Mining Spotify Tracks: Clustering and Popularity Classification. This project was developed as a part of CS4168 Data Mining course at the University of Limerick

    Jupyter Notebook