Mert Altuntaş's Projects
This repository contains my studies while learning ABAP programming language basics.
Make your own digital clock with RTC module and 16x2 LCD screen.
An Arduino project, can detect sounds and make animations according to sounds, with leds..
Fm Radio Project, based on Arduino Uno. It includes LCD display, can make the user listen to real radio channels.
Arduino ve C# Haberleşmesi
Yeni başlayanlar için C programlama örnekleri.
Game that i made, the goal is catching Gumball :) A basic hypercasual Android game.
Arduino Based smart project. Just claps your hands and switch on / off the light. It can be easy way to turn on the lights.
Arduino and Lcd Display, allows you to see real-time performance of your PC. Works with Windows.
A program, displays cricket game scores and keeps them as record.
Encom is a desktop application, written in Java + MySQL. It can perform money transactions from database with a GUI looks like an ATM screen.
Based on ESP8266 and ThingSpeak.
Facial Emotion Detection; It can detect and categorize facial emotions according to pictures. Powered by; IBM Watson Visual Recognition Services.
It's a program that i created, for Gym Management. Program has a few features like; recording member's list in a file, deleting member, bmi calculating etc. All the codes written by me, in C.
Python OpenCV Project, recognizes hand -or some sign language gestures. You can detect numbers when you make 1-2-3-4-5 with your fingers to the squared area.
This study includes a new database application that will facilitate the exchange and communication of documents in homework and project weighted courses. With the designed database, they will carry out transactions such as sending files and messaging between teachers and learners through the system. The database infrastructure of the program is MsSql.
Image Compressor is a desktop application can be used both Windows or Linux. The main purpose is compressing single -or multiple image at the same time for image optimizing works.
This project aims to answer some questions about movies and series. Using Recurrent Neural Networks, it can classify good or bad user comments, also make graphs according to analysis.