Published Research Paper on AI-based Fall Detection System

I authored and published a scientific research paper titled:

**"Fall Detection Based on RetinaNet and MobileNet Convolutional Neural Networks"**

The paper focuses on designing an AI-powered system to automatically detect falls in elderly individuals using computer vision and deep learning techniques.

I collected real-world activity data, trained deep CNN models (RetinaNet and MobileNet), and optimized performance for real-time detection. The system was deployed in a controlled environment and achieved high accuracy.

The research was published in a peer-reviewed conference (ICCES 2020), and it highlights my ability to manage full research pipelines—from hypothesis to implementation and publication.

This work demonstrates my expertise in:

- Deep learning (CNNs)

- AI for healthcare

- Research writing and academic publication

- Python, TensorFlow, and real-world testing