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Collection of AI, Data Structures, Data Science, DBMS, and OOP practicals implemented in Python, aligned with the SPPU 2024 curriculum. Includes clear, beginner‑friendly implementations and mini‑projects for learning and portfolio showcase.
Dashboard interativo que conecta usuários ao acervo da NASA em tempo real: foto astronômica do dia (APOD), asteroides próximos da Terra com Terra 3D em Three.js, +150K imagens do acervo e CRUD completo de favoritos com Back4app. Vanilla JS · Tailwind · Chart.js · SonarQube.
Hands-on lab exercises and project work from the Samsung Innovation Campus program, focusing on software development fundamentals and coding practices during my Software Engineering studies at Istanbul Aydın University.
Personal portfolio website featuring my projects, skills, and experiences during my undergraduate studies in Electrical Engineering. Built with JavaScript, Tailwind CSS, and Google Apps Script.
This repository contains a collection of B.E (Computer Science and Engineering) Project Phase-2 reports from Sathyabama Institute of Science and Technology, submitted between December 2022 and April 2023. It serves as an academic resource showcasing student projects in various CSE domains.
Code Crew Nexus is a collaborative hub of passionate developers building impactful academic projects and real‑world applications. We turn ideas into polished, reproducible, and innovative solutions through teamwork and creativity.
Collection of academic projects, technical reports, Android applications, and presentations completed during my undergraduate studies in Computer Science.
Level 1 Term 2 — CSE-143: Object Oriented Programming (OOP) course conducted by Ashim Sir and Provat Sir. This repository contains lab tasks, assignments, theory examples, homework, and practice problems in C#..
Professional Portfolio Welcome to my professional portfolio! This repository showcases my internship experience, academic projects, and Python applications developed throughout my learning journey.
A collection of Scilab scripts illustrating core concepts in digital signal processing—covering filtering, sampling, convolution, and windowing techniques. Ideal for hands-on learning and academic use.