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🦄
Trying new stuff!
🦄
Trying new stuff!
13 followers · 16 following

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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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.

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  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