Syeda Iqra

I am a recent Information Technology graduate focused on AI, machine learning, and computer vision. I specialize in developing YOLO-based object detection models for medical imaging and applying data-driven solutions to real problems.

From January 2025 to June 2025 I interned at Saasynctly, where I converted data into practical steps, constructed analytical models, and gained hands-on experience training and evaluating YOLO-based object detection systems. The internship strengthened my problem-solving, teamwork, and technical skills.

My final-year project automated osteo detection from X-ray images using deep learning, exploring YOLOv8 through YOLOv11 with Roboflow-annotated datasets on Google Colab; I achieved a peak accuracy of 91.53% with YOLOv11-medium. I co-authored the research paper titled “Deep learning- based bone fracture detection,” which is currently under peer review in an international journal.

I enjoy teaching, research, and collaborative problem solving, and I bring strong analytical thinking and communication skills. I am eager to contribute to AI projects, research, or teaching roles that advance clinical applicability and real-time inference.