Ali Emir Sertbaş
realmir1
Hello everybody, my name is Ali Emir Sertbaş, I 'm 20 years old. I like developeding software. I am biomedical/ medical engineering student at KoU
Languages
Top Repositories
This script classifies Alzheimer’s MRI scans into four categories using a CNN in TensorFlow. It preprocesses images, splits them into training and validation sets, and trains the model for 10 epochs. The model consists of convolutional, max-pooling, and dense layers, with softmax for classification.
A deep learning model for classifying eye diseases using Convolutional Neural Networks (CNNs). Built with TensorFlow and Keras, trained on a medical eye dataset for accurate multi-class classification and analysis.
This deep learning model detects eye diseases using CNNs. Trained on an image dataset, it predicts conditions with high accuracy. Ideal for AI-driven medical diagnosis!
WordSense: A CustomTkinter-based NLP application for real-time text analysis using spaCy. It extracts word tokens, part-of-speech tags, and dependency relations with a sleek UI. Features include Enter key support, dynamic updates, and error handling. Ideal for linguists, AI researchers, and NLP developers
Deep learning model for oral cancer detection using CNN. Trained on 90% data, optimized with Adam, and evaluated with accuracy/loss plots & test predictions.
Blood Flow Rate Calculator | A C++ program using Poiseuille’s Law to calculate blood flow based on vessel radius, pressure, viscosity, and length. Perfect for medical and fluid dynamics simulations
Repositories
35No description provided.
No description provided.
Deep learning model for oral cancer detection using CNN. Trained on 90% data, optimized with Adam, and evaluated with accuracy/loss plots & test predictions.
KoU AI project
This script classifies Alzheimer’s MRI scans into four categories using a CNN in TensorFlow. It preprocesses images, splits them into training and validation sets, and trains the model for 10 epochs. The model consists of convolutional, max-pooling, and dense layers, with softmax for classification.
A deep learning model for classifying eye diseases using Convolutional Neural Networks (CNNs). Built with TensorFlow and Keras, trained on a medical eye dataset for accurate multi-class classification and analysis.
This deep learning model detects eye diseases using CNNs. Trained on an image dataset, it predicts conditions with high accuracy. Ideal for AI-driven medical diagnosis!
I made a calculator for mathematical calculations
No description provided.
Hospital automation mobile application
I designed an interface for the hospital automation system
No description provided.
No description provided.
Kocaeli Üniversitesi Biyo-Mekanik Laboratuvarı
No description provided.
WordSense: A CustomTkinter-based NLP application for real-time text analysis using spaCy. It extracts word tokens, part-of-speech tags, and dependency relations with a sleek UI. Features include Enter key support, dynamic updates, and error handling. Ideal for linguists, AI researchers, and NLP developers
Blood Flow Rate Calculator | A C++ program using Poiseuille’s Law to calculate blood flow based on vessel radius, pressure, viscosity, and length. Perfect for medical and fluid dynamics simulations
This script uses a CNN in TensorFlow to classify images into “cat,” “dog,” and “wild” categories. It trains the model for 10 epochs, evaluates accuracy, and displays predictions on test images.
This script uses a CNN in TensorFlow to classify chest X-ray images into “COVID,” “Normal,” and “Pneumonia.” It trains the model for 10 epochs and evaluates performance with accuracy plots, displaying predictions on test images.
This script uses a CNN in TensorFlow to classify chest X-rays for tuberculosis detection. It preprocesses the images, trains the model for 10 epochs, and evaluates performance with accuracy, loss plots, and a classification report.
This Python program is a Body Surface Area (BSA) Calculator using CustomTkinter.
This project utilizes EfficientNetB0 for eye disease classification, detecting cataract, diabetic retinopathy, glaucoma, and normal conditions. The model is trained on a labeled dataset using transfer learning, optimized with Adam, and evaluated with accuracy metrics and classification reports. 🚀📊
Deep learning model for brain cancer detection using CNN architecture. Trained on multi-class MRI data with ImageDataGenerator and optimized with Adam
Deep learning model for brain tumor classification using MRI images. Built with TensorFlow, Keras, and OpenCV, trained on CNN architecture, and optimized with Adam. 🎯🔥
This Python script generates a 3D surface plot and a 2D histogram using matplotlib and numpy. Users can customize the color palette, axis labels, axis ranges, and the equation for the Z-axis. The script provides an interactive way to visualize data with both surface and histogram plots.
This project is a GPU information display interface developed using CustomTkinter. Users can select from various NVIDIA graphics cards to view detailed technical specifications such as CUDA core count, memory type, power consumption, and manufacturing technology.
No description provided.
Calculate your Basal Metabolic Rate (BMR) and daily calorie requirements based on age, height, weight, gender, and activity level. Fast, reliable, and essential for health tracking!
I make to python program. In this program calculates to Internet speed.
No description provided.