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ADITYAVOFFICIAL/README.md

Coding

Hi πŸ‘‹, I'm ADITYA VERMA


Β  Β  Β  Β  Β 

Batman

Welcome Text

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πŸ€·πŸΌβ€β™‚οΈ About Me-

  • πŸ“š I'm currently a 3rd-year student at SRM Institute of Science and Technology, Kattankulathur, pursuing Computer Science Engineering w/s Big Data Analytics.

  • ✍️ Alongside my studies, I enjoy writing blogs on a variety of topics, exploring the intersection of technology and the world.Penguin

  • Β Β Β  My tech journey is a dynamic one; I'm in the process of mastering MERN full-stack development, diving deep into Protege SQL, and exploring the fascinating realms of AI/ML.

  • 🌍 Beyond code, I have an insatiable curiosity about geopolitics and history. Let's chat about the world's past, present, and future!

  • 🌱 I'm always on the lookout for new learning opportunities and excited to connect with like-minded tech enthusiasts. Let's collaborate, innovate, and grow together in this ever-evolving tech landscape.

Β Β Feel free to reach out at my social links above

βš™οΈ My Tech Stack-

Python C C++ MongoDB NodeJS React NextJS MySQL

πŸ“š Libraries-

TensorFlow PyTorch scikit-learn Pandas Anaconda Flask NumPy Keras Matplotlib Bootstrap

πŸŽ›οΈ IDEs Used-

Visual Studio Code GColab CLion Jupyter Notebook PyCharm Sublime Text

πŸ‘¨πŸ»β€πŸ’» LeetCode Stats:

πŸ“Š GitHub Stats:

Me

πŸ† Holopin Badges

Holopin

πŸ† GitHub Trophies

OPEN FOR COLLABORATIONS

Me

Code Cycle

Broken system! Β Β Β Β Β  It's working! Β Β Β Β Β  It's working but you don't know how!


Pinned Loading

  1. My-Own-LinkTree My-Own-LinkTree Public

    A Linktree-style web app built with Next.js, TypeScript, Tailwind CSS, and Framer Motion, featuring dynamic caching for optimized performance. Developed in under 3 hours during a caffeine-fueled sp…

    TypeScript

  2. ACM-SIGKDD-SRM-KTR-STUDENT-CHAPTER/Official_Website ACM-SIGKDD-SRM-KTR-STUDENT-CHAPTER/Official_Website Public

    SIGKDD SRM KTR Student Chapter Official Website

    JavaScript

  3. Skin-Disease-Classifier Skin-Disease-Classifier Public

    Discover DermaScan: A full-stack web app with MobileNetV2-based skin lesion classifier using Harvard's Ham10000 Dataset for precise dermatological diagnosis.

    Jupyter Notebook