Alp Bora Kirte

In the context of the group project, a conveyor belt and a USB camera system connected to the Jetson Nano Developer Kit were utilized to recognize and identify fruits passing through the belt using SSD-MobileNet. The information regarding their count and types was transferred to a http server. Image processing, deep neural network models, control systems, communication protocols were employed.

Completed internship in POS Management Application Development department, gained hands-on experience in utilizing Feign Client for inter-service communication using Java in IntelliJ IDE.

Performed semantic segmentation on wrinkle dataset for facial wrinkle detection and classification on acne dataset for acne detection, studied wrinkle detection techniques and transfer learning.

Worked on “Device Identification Based on RF Fingerprinting” project for both Wifi and LoRa.
• Utilized MATLAB to generate synthetic Wifi signals
• Employed MATLAB to detect and analyze chirp signals transmitted from a LoRa transmitter.
• Participated in daily Scrum meetings and regular Sprint Retrospectives after each Sprint.

Worked with teammates for Teknofest model satellite competition in wireless communication field, successfully achieved transferring telemetry and video data to ground station using XBee devices.

Collected and analyzed Wifi signals with SDR to create a dataset to be used in machine learning algorithms, worked with Python programming language to do burst segmentation.