A collection of software projects, research implementations, and tools I've developed across various domains of computer science.
Enhanced AWS developer account security by creating restricted IAM SSO roles, removing unnecessary users, and implementing comprehensive security enhancements.
FeaturedDeveloped an end-to-end ML pipeline using Amazon SageMaker and AWS tools to reduce development time, cost, and manual effort through automation and reusable templates.
A dynamic and responsive ToDo application built with React, allowing users to efficiently add, edit, delete, and complete tasks.
Developing an end-to-end ML pipeline for analyzing retailer brand images using YOLO object detection (Roboflow) and visualizing results in Tableau.
Developing an end-to-end ML pipeline to predict student performance, including data preprocessing, feature engineering, model building, and deployment planning.
Implemented a co-evolutionary feature selection method for spam email classification, comparing it against established ML feature selection methods.
A desktop application that uses computer vision (OpenCV/Deep Face) to identify user emotions, track screen time, and suggest health tips.
A human-hand-following cleaning robot using computer vision to track user movement and sensors for obstacle avoidance.
Integrated the PDDL4J-TO hierarchical planning system to generate optimal plans and efficient solutions across diverse domains.
Visualized and analyzed Algeria's COVID-19 pandemic data (cases, recoveries, deaths) over time using R and ggplot to identify trends.
Created a PowerBI dashboard for the PurlWiz competition focused on statistics, winning first place as a team.
A GUI application for simple and user-friendly management of both gym members and trainers using Java and MySQL.
A Stock Management System implemented in C using file handling to store and manage salesmen, stock, and vehicle details.