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Welcome to the Flower Recognition Using Convolutional Neural Network project! This repository features a deep learning model designed to accurately classify and recognize different flower species using Convolutional Neural Networks (CNNs). The project utilizes the MobileNetV2 architecture for its efficiency in image recognition tasks.
This project classifies urban noise using machine learning models such as DNN, CNN, LSTM, and Random Forest. Utilizing the UrbanSound8K dataset, it aims to accurately identify different urban sounds, aiding in noise monitoring and management. Key features include robust model comparison and real-time deployment potential.
This repository contains assignments and solutions for the KON309E (Microcontroller Systems) course given at Istanbul Technical University in the 2023 fall term.
Visualizes the prerequisite chains of the selected course plan. Has a mode where the user can create their schedule via the chain or just by themselves.
İTÜ Dersçi is a Flask application that stores course schedules of ITU undergraduate programs, notifies you when a quota is available and helps you with your course registrations