Yusuf Çağrı Daşkın

Dynamic and versatile Software Developer with a strong background in GIS, web, and mobile applications. Proven track record at Kazancı Holding enhancing software efficiency through innovative solutions and Agile methodologies. Experienced in building AI-powered systems such as license plate recognition, indoor positioning, people analytics, and smart advertising based on real-time camera data. Developed and delivered scalable applications including social media platforms, access control systems, and HR management tools with payroll and shift planning features. Skilled in SQL integration, React Native, Flask, and computer vision technologies. Passionate about problem-solving, product quality, and collaborative development.

License Plate Recognition System
Developed an AI-powered system to automatically detect and recognize license plates from camera feeds using OpenCV and machine learning models. Integrated with access control and logging features.

Indoor Positioning System
Built a real-time indoor positioning solution using BLE beacons and trilateration algorithms. Enabled accurate tracking of devices within complex indoor environments.

People Counting, Age and Gender Analyze System
Implemented a computer vision system for detecting and counting people in video streams, with age and gender estimation using deep learning. Used in retail and facility analytics.

Duellos Social Media App
Developed a cross-platform social media app where users create challenges ("duellos") and vote on them. Built with React Native and integrated with Firebase for backend services.

Access Control App
Created a secure mobile and web app to manage and verify user access through QR codes and GPS/location validation. Integrated with IoT turnstile systems for real-time access control.

Payroll, Shift Management HR App
Designed and developed an HR platform to manage employee shifts, payroll, and attendance. Features include real-time notifications, PDKS integration, and multi-level admin access.

Smart Advertising System Based on Age and Gender Detection
Developed a real-time advertising system that analyzes a person’s age and gender upon entering a store using camera input and computer vision models, then displays targeted ads on a digital screen accordingly.