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YuvalShaffir/README.md

πŸ‚ About Me

πŸŽ“ am a fourth-year Electrical Engineering & Computer Science student at the Hebrew University in Israel. I find great excitement in solving problems, particularly those that I encounter in my own life. All of my projects are meticulously crafted from the ground up, reflecting my passion for learning and delving into various subjects. Please feel free to inquire about any of my repos. πŸ˜€

Subjects that I'm pursuing at the moment: Image Processing, Deep learning, Arduino, Python OOP, 3D printing, and Fusion360.

πŸ“« Reach me at: [email protected]

Tech Stack

  • Python: Decorators, Generators, OOP, Numpy, Pandas, and more.
  • C \ C++: STL, Templates, Inheritance, Generics, and more.
  • Machine Learning: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Diffusion, Tensorflow, and more.

Browsing history data scrapper, uses ML to categorize websites and sends a pie chart to an accountability friend through Telegram.

Following the events of the October 7th war, I observed a significant surge in news and social media consumption among my friends, family, and myself. This surge negatively impacted our work efficiency, prompting me to seek a solution. Drawing from my experiences with accountability partners during my student life, I developed a tool aimed at enhancing productivity.

This tool generates a categorized pie chart of my internet usage, breaking down the data into specific subjects such as Work, Social Media, News, and more. To achieve this, I utilize cloudscraper for website data scraping and the Google Language V1 categorization model to analyze and categorize the metadata from various websites. This innovative approach not only addresses the challenges posed by increased media consumption but also provides a tangible solution for maintaining focus and productivity.

Accountability Tracker

ImProUtils (2023) - In Progress

This is an image-processing utility library that I created to boost my future projects and also dive deep into many image-processing subjects.

The most impactful course I've undertaken during my university journey is undoubtedly the Image Processing course. It wasn't the ease of the exams that made it stand out; in fact, it was one of the most challenging courses. Its significance lies in its inherent interest to me and the profound impact it had on redirecting my career path.

Motivated by my passion for the subject, I crafted this utility library to serve as a valuable resource for my upcoming projects in the realm of Image Processing. Beyond aiding in future endeavors, the library serves as a tool for delving deep into both the concepts I've already learned and those I aspire to explore further.

ImgProUtils

πŸ“ž Connect with me:

yuval-shaffir

Stats:

Β yuvalshaffir

Pinned Loading

  1. Monocular-Vision-Object-Distance-Prediction Monocular-Vision-Object-Distance-Prediction Public

    Python

  2. accountabilityTracker accountabilityTracker Public

    Python

  3. ImProUtils ImProUtils Public

    Python

  4. OOP-Test-Prep OOP-Test-Prep Public

    Java

  5. Hierarchical-Page-Tables Hierarchical-Page-Tables Public

    C++

  6. Multi-threaded-Programming Multi-threaded-Programming Public

    C++