Melih Siskular

Computer Vision

Visual detection systems and real-world applications

This section includes my computer vision projects focused on solving real-world problems using image processing and machine learning techniques. I mainly work with Python, Yolo and OpenCV to analyze camera input and build practical detection systems.

Parking Space Detection System

Parking Space Detection System

A computer vision system designed to detect available parking spaces using camera footage. The project uses image processing techniques and detection logic to determine whether a parking spot is occupied or empty.

PythonOpenCVYoloNumpyComputer Vision
NYC Trip Data Analysis

NYC Trip Data Analysis

This project analyzes 22M+ High Volume For-Hire Vehicle (HVFHV) trip records in New York City for March 2026.

PythonPandasMatplotlibNumpyEDA