Sefa Kocaman's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
In this project, a desktop remote controlled music player application was realized using Visual Studio and Arduino.
I share simple applications with image processing in this article, and when I make a new application, I will collect them under this github page. Matlab and python coding language is used in Computer Vision in my projects.
A Machine Learning Model that classifies the data in the images as Sensitive or Non-sensitive.
It is the documentation scanner project of our Computer Vision work with Opencv. In this project, documents shown to the computer camera were scanned using Opencv artificial intelligence libraries. Below I tried to explain the details of the project step by step.
It is the Fire detection project with Arduino of our Computer Vision work with Opencv. In this project, when fire detection was detected using Opencv intelligence libraries, the LED on the Arduino burned, the detection text was printed on the buzzer and LCD screen. I tried to explain the details of the project step by step below.
Simple logic gate applications were implemented using FPGA VHDL language. These are; counter counter circuit, float point, multix.
In this project, its own AI powered gym implementation was implemented using AI Powered Pose estimation. MediaPipe and Python were used to detect different posts with a webcam. Body up and down gym practice was performed using Mediapipe pose points.
Hands-On Image Generation with TensorFlow 2.0, published by Packt
Source training data for Tesseract for lots of languages
A simple library website has been created with the project ASP.NET. The aim of the project is to create an Accesses database and to use the website with validation. The website consists of 5 homepages; There are homepage, bookstore, books, about us and membership sections.
matplotlib: plotting with Python
Simple applications with proteus simulation using Micro-C pic application are shown in the project. The project includes Traffic Intersection application, for loop applications, illuminated led circuit, traffic light, while and if loop applications.
It is the robot arm control project of our Computer Vision works with Opencv. In this project, a Firebase-based robot project was realized by using Opencv and Mediapipe artificial intelligence libraries. Below I tried to explain the details of the project step by step.
In this project, after extracting the data sets as csv, we tried to reflect them graphically and schematically about cryptocurrencies in finance by using data analysis and data visualization methods. In this project, there are other cryptocurrencies in the data set we provided in this project, but if you want, you can do the same after reading them as csv files. We used 3 cryptocurrencies of our choice. These are Ethereum, bitcoin and dogecoin.
Hello, I'm Sefa Kocaman, I'm studying Electrical and Electronics Engineering at Afyon Kocatepe University. My interests are Computer Vision.Python,C#.FPGA
It is the Servo motor control project of our Computer Vision work with Opencv. In this project, an Ardunio Serial port-based servo motor control project was implemented using Opencv and Cvzone artificial intelligence libraries. Below I tried to explain the details of the project step by step.
STM32F101X8 smart card drawing was performed using Altium Designer PCB drawing application.
The aim of the project; By expanding the scope of the project, the data is shown to the user via sms or a smart application (app). The received data is transferred to the SD-CARD with the RBO output pin. It is written to a file with the extension β.imaβ within the SD-CARD module. Thanks to the WinImage program, the received data is converted to the β.textβ extension. With the RS232 communication with the slave processor (PIC18F26K20), these data were seen on the GUI application in C#. https://cevirsozluk.com/
An Open Source Machine Learning Framework for Everyone
In this project, after extracting the data sets as csv, we tried to represent the car prices graphically and schematically by using data analysis and data visualization methods. We checked the connection of the car prices we analyzed with other data, then we created a 4-layer and 12-neuron system.
Artificial Neural Network(ANN) Perceptron