Shefa Tabassum - Portfolio

About Me

Hello! I'm Shefa Tabassum, a passionate Computer Science student with a strong focus on problem-solving, machine learning, and artificial intelligence. I am driven by a deep interest in developing innovative and impactful solutions that tackle real-world problems.

Through my continuous participation in competitions and hackathons, I stay engaged with the latest advancements in technology, constantly honing my skills in algorithms, data structures, and AI. I'm excited to collaborate on projects that challenge the status quo and contribute to meaningful technological progress.

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Skills

Java

Proficient in object-oriented programming and developing robust applications in Java.

Python

Skilled in data analysis, web development, and automation using Python.

C#

Experienced in developing desktop and web applications with C# and .NET framework.

JavaScript

Experienced in dynamic, interactive web development using JavaScript and ES6+ features.

Projects

Research Paper Management System

A web-based system for managing research papers, including submission, metadata storage, and citation generation. It supports user authentication with different roles like Admin, Researcher, and Viewer.

Spellbound hef Magical Mayhem

A 2D cooking simulation game where players take on the role of a sushi chef, managing a kitchen and preparing various sushi recipes under time constraints. Built using the Godot Engine.

Airport Management System

An airport management system built with Java that handles flight scheduling, baggage handling, and passenger check-in. It provides efficient management of airport operations.

Student Management System

A system for managing student attendance with features like marking attendance, searching/filtering students, and generating attendance reports. Built using PHP and MySQL.

Climate Odyssey

An interactive educational game that uses Augmented Reality (AR) and real-world data to raise awareness about environmental issues. Players learn about GLOBE protocols and NASA data to solve climate-related challenges.

Personal Portfolio

A clean, modern portfolio website showcasing my projects, skills, experience, and education. Built using HTML, CSS, JavaScript, and GSAP for smooth animations and transitions.

ML Model Predictor

A machine learning model that predicts outcomes based on training data. This project includes data preprocessing, model training, evaluation, and optimization using Python and libraries like scikit-learn.

CPU Design

A CPU designed using Logisim, implementing a simple instruction set architecture (ISA) and assembly language to simulate basic operations and processes of a CPU.

Face Recognition System

A machine learning-based face recognition system that uses deep learning models to detect and identify faces. Built using TensorFlow and OpenCV for real-time face detection.

Weather Prediction System

A machine learning model that predicts weather patterns based on historical data. Uses regression models and data analysis techniques to forecast temperature and precipitation trends.