🔍 Developed a secure server-client framework for encrypted real-time communication.

📝 This project represents my most significant technical challenge and achievement to date.

🔍 Focused on server-client dynamics and efficient file parsing.

🎓 Course: Defensive System-Programming, The Open University of Israel. Grade: 100.

🔍 A sophisticated simulation of Earth's ecosystems using cellular automata, modeling complex environmental interactions in a 2D grid.

🎓 Developed for the "Biological Computation" class at the Open University of Israel, earning a perfect score of 100 in 2024.

🌐 Demonstrates dynamic world modeling with real-time visualization and statistical analysis, offering insights into the interconnectedness of environmental factors.

🧬 Showcases advanced Python programming techniques, including encapsulation, context managers, and custom Enums for dynamic rule-based logic.

🔍 Crafted a dynamic timer simulating real exam conditions, enhanced with voice functionalities.

🎓 A personal initiative aiming to recreate and enhance traditional exam environments.

🔍 A Python script for dynamically injecting decorators into class methods using a metaclass.

🎓 Originally started as a course project for Defensive System-Programming (20937) at the Open University of Israel, earning a grade of 100.

🔄 Since then, the code has been extensively modified and improved for greater flexibility and usability.

📝 The project demonstrates advanced Python features like metaprogramming and dynamic code execution, making it a unique addition to any software developer's toolkit.

🔍 A labor of love designed to customize Anki's review interface for a streamlined and enhanced user experience.

🎓 This self-driven project showcases a commitment to improving tools I use daily, demonstrating both my technical prowess and dedication to user-centric design.

🔍 A Python-based pixel art editor with a focus on simplicity and creativity, enabling users to create and manipulate pixel art images with ease.

🎓 Developed as a passion project to explore the realms of digital art and image processing in Python.

🖌️ Features include pixel size adjustment, color palette management, transparency, and history tracking for undo/redo actions.

📚 Utilizes advanced programming concepts combined with matplotlib for graphical rendering.

🔍 Emphasized on OOP, utilization of smart pointers, and STL containers.

🎓 Course: Defensive System-Programming, The Open University of Israel. Grade: 96.

🔍 Solutions, Algorithms & Automated Downloader: A comprehensive toolkit featuring my solutions to LeetCode challenges, with a focus on algorithms and data structures.

🤖 Includes an innovative Python script with Selenium WebDriver, automating the download of accepted LeetCode solutions.

🎓 An ongoing project that serves as a testament to my problem-solving skills and software engineering acumen as a senior student.

📝 The toolkit is systematically organized by difficulty and includes detailed explanations of time and space complexities for each solution, along with a neat directory structure for downloaded solutions.

🔍 Dive into the intricacies of compiler architectures and the art of translating assembly code with precision.

🎓 Pursued as part of the System Programming Laboratory at The Open University of Israel (2022a). Achieved an impressive grade of 98.

🔍 An enhancement of the XV6 operating system with a custom 'ps' system call, crafted for the Operating Systems course at the Open University of Israel.

📝 Key modifications include ps.c for user-space interface, updates in user.h, proc.c, sysproc.c, Usys.S, syscall.c, and defs.h for seamless integration of the new system call.

🚀 Execution Flow: Initiated from user space, this system call delves into kernel-level execution to provide process state information.

📊 Usage Guidelines: Invoke the ps command in the XV6 shell to view real-time process information.

🌟 Testing & Compliance: Assigned syscall number 192; underwent rigorous tests for functionality, security, and stability.

💡 Reflections: A blend of academic learning and practical application, culminating in a score of 98/100.

🔍 A C program designed for complex number calculations, showcasing modular programming and efficient parsing techniques.

🌟 Features include operations like addition, subtraction, multiplication, and absolute value calculations on complex numbers.

🎓 Developed as a part of the System Programming Laboratory course at The Open University of Israel, scoring a 98.

💡 Emphasizes user-friendly interaction with a command-line interface for easy input and manipulation of complex numbers.

🛠️ The project demonstrates a deep understanding of complex mathematical concepts, implemented in ANSI C.

🔍 CBits: This C-based program suite in the repository is a comprehensive exploration of various embedded C concepts including bit manipulation, memory management, multi-threading, and system call implementation within the xv6 operating system environment.

🌟 Key Features:

• Advanced Bit-Level Operations: Offers sophisticated techniques for bit manipulation, crucial for performance optimization in low-level programming.

• Custom Memory Management: Features a custom implementation of malloc and free functions, demonstrating memory alignment techniques.

• Inter-Process Communication: Includes the PingPong program, showcasing IPC using UNIX pipes in xv6.

• Multi-threading with POSIX Threads: Demonstrates concurrent programming using POSIX threads for operations on shared resources.

• Custom System Call Integration: Illustrates the creation and integration of a custom ps system call within the xv6 kernel.

• In-Depth xv6 Kernel Exploration: Provides insights into the structure and functionalities of the xv6 kernel.

🎓 Educational and Practical Application: This repository is a valuable educational tool designed for an in-depth study of Operating Systems and low-level programming. It provides practical examples and exercises for students and enthusiasts to learn kernel-level programming and understand system-level interactions in C.

💡 Practical Low-Level System Interactions: The repository offers a hands-on experience with manipulating bits, customizing system calls, and understanding memory management in C. It's a valuable guide for understanding the interaction between software and hardware at the system level.

🛠️ Resource for System-Level Programming: An essential resource for anyone looking to deepen their understanding of system-level programming in C. It's particularly useful for educators and learners in computer science, focusing on operating systems, kernel development, and low-level programming techniques.

🔍 A collection of MIPS assembly language programs, including q2 and q3, which were part of my coursework for the Computer Organization course (20471) at the Open University of Israel and earned a perfect score of 100. The program SumAndConvertInput was a personal project that extended q2 to handle user input and delve deeper into assembly programming.

📚 The collection serves as an excellent resource for understanding assembly language, demonstrating practical applications in number systems, string manipulation, and linked list operations.

🌟 Each program reflects a thorough grasp of assembly language principles, showcasing both academic rigor and personal exploration in programming.

🔍 A repository showcasing the application of genetic algorithms to Conway's Game of Life, exploring various configurations and optimization strategies.

🧬 Implements genetic algorithms for evolving initial configurations, resulting in diverse and stable patterns over generations.

📈 Insights into algorithm performance and behavior, including optimal parameters and notable patterns observed during execution.

🛠️ Utilizes C++ for efficient simulation and exploration of cellular automata behavior.

🔍 An advanced implementation of Restricted Boltzmann Machines (RBM) for the classification of the Iris dataset, demonstrating the potential of generative learning in machine learning and AI.

🌐 Features a custom-built RBM model using Python and NumPy, without reliance on external libraries, emphasizing the project's focus on understanding and applying core machine learning principles.

🎨 Includes a user-friendly GUI application for easy interaction with the model, facilitating dataset management, model training, and visualization of learning progress.

📚 Part of a project for the Biological Computation course at the Open University of Israel, showcasing practical applications of RBMs in classifying complex datasets.

🔍 A comprehensive Python implementation of decision trees, aimed at understanding and applying machine learning and AI principles.

🌱 Converts Java-based algorithm to Python, maintaining the original structure and interface while achieving a perfect score in AI coursework.

📊 Features practical examples, including tennis and loans datasets, to demonstrate the algorithm's versatility and accuracy.

🛠️ Offers an in-depth look into algorithmic enhancements, data instance management, and dataset challenges, providing a rich learning resource.

🔍 An interactive GUI for visualizing and experimenting with Hopfield networks, a type of recurrent neural network used for associative memory.

📊 Features real-time manipulation of neuron states, dynamic visualization of network states, and the ability to store and retrieve patterns.

📚 Incorporates a range of tools and functionalities like pattern addition, state reset, energy calculation, and more, providing a comprehensive understanding of Hopfield networks.

🧬 Designed to offer educational insights into neural network dynamics, allowing users to explore concepts such as energy landscapes, convergence, and pattern stability.

🔍 Implements a neural network of two single-layer perceptrons for classifying 21-digit binary numbers based on the count of 'ones'.

🧠 Showcases fundamental concepts of perceptron-based classification including weight initialization, prediction, training, and plotting decision boundaries.

🖥️ Features an interactive GUI for easy interaction, prediction, and visualization of the perceptron classifier.

📚 A demonstration of practical machine learning algorithms application, part of my software engineering portfolio.

🔍 A thorough examination of AI search algorithms through the lens of the classic 8-Puzzle problem. Implements BFS, IDDFS, GBFS, and A* search algorithms alongside a custom heuristic for A* and GBFS.

🎓 Originally developed for the 20551 Introduction to Artificial Intelligence course at the Open University of Israel, achieving a perfect score.

🚀 Features both a user-friendly GUI and a command-line interface, making it accessible for a wide range of users.

📝 The project not only showcases algorithmic problem-solving skills but also serves as a practical reference for understanding and applying AI search algorithms.

🔍 CrossFinder is a unique variant of Conway's Game of Life, focused on identifying and transforming cross shapes within a grid. It introduces innovative states and rules to detect and interact with these patterns dynamically.

🧩 Tailored for the "Biological Computation" course at the Open University of Israel, this project addresses problem 28 from the book Biological Computation by Ehud Lamm and Ron Unger, showcasing the application of computational concepts to biological problems.

🌟 Achieved a perfect score for its ingenuity in problem-solving and its ability to merge computational principles with biological insights.

🛠️ The program is a fusion of creativity and technical skill, demonstrating advanced algorithmic thinking and offering a new perspective on cellular automata.

🔍 Minimax Algorithm & Strategy Visualization: This project showcases a strategic stone-taking game against a computer, utilizing the minimax algorithm for decision making and NetworkX for visualizing the strategy tree.

📈 Graph Theory Application: Through NetworkX, the project demonstrates an advanced application of graph theory in visualizing decision trees, aiding in understanding the algorithm's decision-making process.

🤖 Interactive Gameplay with Tkinter: Incorporates Tkinter for the GUI, providing an interactive platform for gameplay and algorithm visualization.

🎓 Educational Tool: Serves as an educational tool for understanding minimax algorithms and their applications in game theory and AI.

📝 Comprehensive Documentation: Includes detailed explanations of the algorithm, code comments, and a guide on running the game and visualizing the strategy tree.

🔍 Advanced AI Techniques: Employs constraint satisfaction and backtracking algorithms, alongside AI strategies, to efficiently solve Sudoku puzzles of any difficulty.

🤖 Interactive GUI Experience: Features an interactive GTK5 GUI, allowing users to seamlessly input puzzles, visualize the solving process in real time, and engage with the solver in an intuitive manner.

🚀 C++ and Qt Integration: Demonstrates the power of C++ for core algorithm implementation, enhanced with a modern Qt interface for a user-friendly experience.

🎓 Educational Insight: Provides a unique opportunity to explore advanced algorithmic and AI concepts through the lens of Sudoku solving, making it an excellent tool for learning and experimentation.

📝 Open Source Collaboration: Encourages contributions and is designed as an open-source project to foster community involvement and continuous improvement.