Arsalan's Projects
Config files for my GitHub profile.
The Assembly Interpreter is a project that aims to interpret and execute assembly language programs defined in a specific format. This interpreter reads input from a text file containing a sequence of assembly instructions and their corresponding operands. Codes represent instructions for the interpreter to simulate program execution.
Led a data-focused bookstore analytics project, using BeautifulSoup to extract iranketab data. Cleaned and engineered data with Python (NumPy, Pandas, Selenium)., built a MySQL/SQL Server database. Applied ML, t-tests, BERT for insights into customer preferences. Created a Streamlit dashboard for informed decision-making.
This project includes both analysis (fully) and implementation (in the src(CLI)).
In this project, we intend to design a compiler that reads arithmetic expressions and, in addition to computing the result of the expression according to the logic we define for it, generates three-address code in the C language.
There are multiple assignments related to multi-threading and concurrency that you are required to implement using the Java language.
Diabetes-Prediction is a project aimed at developing a predictive model for diabetes using logistic regression. This repository contains the code and resources needed to create a user-friendly application that predicts the likelihood of an individual having diabetes based on various input features.
This repository contains the code and instructions for an introductory project on Dockerization. Explore the world of containerization as you build and depoly simple client and server containers using Docker. Follow along with the provided guide to get started and learn how to dockerize applications effectively.
This project addresses image's efficiency storage challenge by introducing a novel, efficient lossless compression method using Huffman coding. This method not only simplifies implementation but also reduces memory consumption, making it well-suited for resource-limited environments and aiming to revolutionize streamlined image data management.
In this project, we implemented one of the image coding algorithms, in a way that in several steps, we coded an image, calculated its perimeter and area, sent it to the Decode unit using the UART protocol, and re-encoded the original image.
Image-Steganography-LSB is a command-line application that enables users to perform steganography using the Least Significant Bit (LSB) algorithm on images. This technique allows you to hide sensitive information within image files in a way that is not detectable by the human eye.
Academic research on IMDb's Top 250 Movies entails scraping and cleaning data, followed by analyzing genres, directors, release years, IMDb ratings, and actors' influence. This analysis offers insights into evolving cinematic preferences and demonstrates the value of data-driven research in understanding cultural phenomena.
Unveiling Customer Dynamics: Analyzing a Massive Dataset of 3 Million Grocery Orders from 200,000 Users Over Time
This project revived a dormant laptop store using advanced data analysis, Python tools like BeautifulSoup and scikit-learn, and a robust MySQL/SQL Server database. We created interactive visualizations with Power BI and Streamlit, empowering effective sales strategies through machine learning-driven insights and comprehensive data analysis.
This project involves the creation of a single-cycle MIPS CPU design using Verilog. The single-cycle microarchitecture is characterized by executing an entire instruction in one clock cycle. The project delves into the intricacies of designing and implementing a simplified MIPS CPU, providing insights into its fundamental components.
The Operating-System-Scheduler repository presents an intricate project that simulates and analyzes processor timing through common scheduling algorithms used in operating systems. Delve into the core of scheduling methodologies, gaining insights into algorithmic impacts on system performance metrics.
Pseudo-Instagram is a robust social media project inspired by platforms like Instagram, designed to replicate modern features while prioritizing security, user engagement, and efficient data handling. It encompasses user authentication, profile management, content sharing, follower interactions, private messaging, showcasing Java programming, etc.
Unlock your door with ease using our RFID Smart Door IoT project. Simply swipe your RFID card for secure access. Manage permissions and monitor entry from anywhere with our intuitive mobile app. Experience convenience and peace of mind like never before.
In this project, you will be tasked with implementing pipeline registers and connecting all the modules you've created so far to build a complete RISC-V processor. The successful completion of this project will result in a functional MIPS processor, and you'll have the opportunity to gain bonus points by handling hazards.
This comprehensive solution harmonizes advanced components like temperature sensors, LCD displays, LEDs, and motors for the dynamic oversight of temperature and lighting in a smart home. With real-time monitoring, perceptual cues, and adaptable lighting control, the system ensures optimal comfort, energy efficiency, security and user-friendliness.
This project focuses on designing a comprehensive database system for an online travel ticket purchasing platform that serves all customers, travel agencies and application's super admins.
This repository contains a Python project that implements an assembler for a custom instruction set architecture. The assembler takes assembly code as input and converts it into machine code. The supported instructions include ADD, SUB, AND, OR, and JMP. The assembler also supports working with registers and memory.
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