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11 followers · 3 following
  • Dallas, TX, USA

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Achievement: Pull SharkAchievement: Starstruck

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striderzz/README.md

Hi 👋, I'm Hasan

A Software Engineer, Full Stack Developer, Game Developer

  • 🌱 I’m currently learning Cloud Computing, Machine Learning, Flask

  • 💬 Ask me about Python Progamming, Machine Learning, Databases, Flask, Django, Unity Game Development

Connect with me:

Languages and Tools:

blender bootstrap csharp css3 django express html5 javascript mongodb mysql nodejs pandas python scikit_learn seaborn unity unreal

striderzz

 striderzz

striderzz

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  1. Desktop-Voice-Assistant Desktop-Voice-Assistant Public

    Desktop Voice Assistant which can search query on Wikipedia, Play Music from local machine storage, capable of opening websites Google, Stackoverflow, Youtube and send Emails. Modules used : pyttsx…

    Python 1

  2. Flask-CRUD-Application Flask-CRUD-Application Public

    Efficient and user-friendly CRUD (Create, Read, Update, Delete) application built with Flask, utilizing an SQLite database and enhanced with Bootstrap 5 for a modern and responsive user interface.

    Python 1 2

  3. 2D-Platformer-Unity 2D-Platformer-Unity Public

    Build your own 2D platformer game effortlessly with this Unity project template. It includes a robust player controller, seamless tilemap integration, and essential platformer mechanics. Jumpstart …

    C# 100 70

  4. Django_Todo_List Django_Todo_List Public

    A simple and efficient Django-based Todo List application with task management, user authentication, and search functionality. Built using Django, HTML, CSS, and SQLite3.

    Python

  5. Recipe-Manager-Flask_MongoDB Recipe-Manager-Flask_MongoDB Public

    A full-stack recipe manager web app built with Flask, MongoDB Atlas, and Bootstrap. Features user authentication and full CRUD functionality for personal recipes.

    Python

  6. CNN_Image_Classification_MNIST CNN_Image_Classification_MNIST Public

    Single-page Flask web app that serves a TinyVGG-style CNN to classify FashionMNIST with live metrics (dataset sizes, params, accuracy). Includes a compact training script and saved-weights flow

    Python