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LinkedIn, GitHub @s-m-quadri
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LinkedIn, GitHub @s-m-quadri
38 followers · 63 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Organizations

@equiweb-rental

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s-m-quadri/README.md

poster

Greetings 👋 السلام عليكم

I'm currently pursuing a Master's in Computer Science and Engineering from the Government College of Engineering, Aurangabad. I'm an expert in full stack web development, software development, and graphic design, and I'm comfortable with cybersecurity and AI/ML. Learn more...

Reach 🌐 us via:

The following are pinned projects, ordered according to significance.

I hope you will find them inspiring and helpful. 🙂 جزاك اللهُ خيراً

Pinned Loading

  1. diems diems Public

    Welcome to CodeShine, an integral part of the dynamic Di website! This cutting-edge application, built on the robust Django framework, revolutionizes the way you handle assignments. It offers a wid…

    HTML

  2. qr-notes qr-notes Public

    QR-Notes is a versatile and user-friendly app for converting Markdown notes into QR codes. It offers features such as encryption, PDF generation, and sharing options, making it easy to store, acces…

    Dart

  3. draw-key draw-key Public

    Research-Based Digital Signature Authentication: An Alternative to Password-Based Authentication with Integration Capabilities

    JavaScript

  4. mindfit-ai mindfit-ai Public

    Repository containing the source code and essential links for a machine learning project focused on mental fitness. It provides access to the codebase and resources related to data preprocessing an…

    Python

  5. ask-iot ask-iot Public

    A Python-based command-line tool developed as part of a research project on Machine Learning and IoT. It utilizes a custom implementation of the TF-IDF algorithm to provide interactive and concise …

    Python

  6. cyberus cyberus Public

    Cyberus is a tool to check the generic and sentimental legitimacy of the message, and it gives an approximate idea of the risk, based on the dataset, on which it has trained, and some machine learn…

    Jupyter Notebook 1