A Django application developped for classification of a diabetes complication that affects eyes

Welcome to the VTU Notes repository for the 8th semester! This repository contains comprehensive notes for various subjects offered in the 8th semester of Visvesvaraya Technological University (VTU). These notes are designed to help students understand key concepts, prepare for exams, and succeed in their studies.

The JSLearner Mobile App is a team assignment for creating an educational platform designed for the "Educational Software" course, offered in the 8th semester of the 2023-2024 academic year at the University of Piraeus, Department of Informatics.

This project is a team assignment for the "Web Information Systems" course, offered in the 8th semester of the 2023-2024 academic year at the University of Piraeus, Department of Informatics.

This project is an individual assignment for the "Speech and Audio Processing" course, offered in the 8th semester of the 2024 academic year at the University of Piraeus, Department of Informatics.

The JSLearner Backend is a team assignment for creating the backend infrastructure for the JSLearner Mobile App, developed as part of the "Educational Software" course, offered in the 8th semester of the 2023-2024 academic year at the University of Piraeus, Department of Informatics.

The Web3.0 Voting System is a team assignment designed for the "Blockchain Technologies and Applications" course, offered in the 8th semester of the 2023-2024 academic year at the University of Piraeus, Department of Informatics.

This project is a team assignment for the "Web Information Systems" course, offered in the 8th semester of the 2023-2024 academic year at the University of Piraeus, Department of Informatics.

The Intelligent Agents Simulation is a team assignment designed for the "Intelligent Agents" course, offered in the 8th semester of the 2023-2024 academic year at the University of Piraeus, Department of Informatics.

🎓 Final Project for Completing Bachelor Degree in Petra Christian University. Create Hybrid Recommender System for Interior Products and its Services using Data Implicit Feedback