Murat Özer

The purpose of this application is to show only discounted products and campaign products in existing markets. The interface is easy to use, simply designed. Frontend is designed with Ionic5, capacitor, AngularJS and backend part is used with NodeJS.

Use the application generator tool script, ozz-generator, to quickly create an application skeleton. The aim of this project; A Node.JS project is intended to create the framework structure, to establish the necessary structure, architecture, and to do this in a regular, readable form. By default the mongodb connection is built with .ejs for appearance, express to create an http server, and useful modules that you can use.

The main purpose of this project is to provide an advanced chat system to enable people to communicate with each other on the socket architecture in Nodejs. Technologies and modules such as AngularJS, redis, mongoose, express are used.

The main purpose of this project is to understand socket architecture in Nodejs. Socketio module is used. The service it provides is; everyone has a ball and everyone can talk to each other instantly.

The main purpose of this project is to create a public web service provider. This service offers us information such as movies, series, directors. I have enabled this service to run for free via heroku. But it needs a token to retrieve data from this service.

The main purpose of the project is to determine the basic interests of people and to communicate with each other through these areas of interest. Talking about the content of the project; is simply a mobile application and works on the ios or android operating system.Its main features are the ability to log in to the application with the face recognition system, everyone has profile page, to share photos or text, to find people related to their interests on the map.

The purpose of this project is to apply sentiment analysis on a dataset that is given. Our datasets are tweets about archeage, hobbit and iphone6. As feature extractor cnn model and word2vec model (enchanced wıth googlenews); As classifier evaluation class; to seperate the dataset into multiple files,Dataseperator is used.This program is written java using dl4j. Second implementationis text analysis using machine learning models to classify movie review sentiments as positive or negative.This program is written python using pandas, sklearn(SupportVectorMachine,NaiveBayes,LogisticRegression,KNearestNeighbors).

My main goal in this project was to aggregate the data sets, which were completely in the large document level, to their degree of closeness. There were two clustering algorithms that I researched. These are k-means clustering algorithm and mean-shift clustering algorithm. I used K-means clustering algorithm.

Data is the most important criterion for educating an algorithm. Because it learns the algorithm according to the data we will use and meets the requests. However, the more regularly we give our algorithm, the more efficient it will work. In this project, I am preparing the data for tensorflow. Briefly, video data is taken, divided into frames, augmentation is performed, renamed regularly, divided into two as test(%20) - train(%80).

It is simply written to detect the faces of users who registered in the application and measure their emotions using FaceRecognition library in Python.Face Recognition library built using dlib’s state-of-the-art built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.

A program to detect if a given mail is “spam” or “ham”.

This project is a mobile application designed to report an unusual event. An application designed to easily report events such as an accident, weather, or theft.

Snake game with python and c#. Hospital Automation system using c++.