Projects & Publications

I’ve worked on research and applied projects involving deep learning, data analysis, and real-time AI systems. Below are some highlights from my portfolio and academic work.

Deep Neural Networks for Disease Classification

Presented at IEEE ICERCS’24, this work introduces a CNN + U-Net model for gastrointestinal disease classification from endoscopic images. Achieved 98.8% accuracy.

IEEE Publication

Ensemble Deep Learning for Pneumonia Detection

Published in IEEE ICDSBS 2025, this research proposes an ensemble model combining DenseNet, MobileNet, and EfficientNet with transfer learning. Achieved high classification accuracy in detecting pneumonia from chest X-ray images.

IEEE Publication

Body Pose Recognition

Real-time human pose estimation using TensorFlow and OpenCV. Designed for fitness apps and motion analysis use cases.

Global Terrorism Analysis

Exploratory data analysis (EDA) on global terrorism datasets using Python libraries like pandas, seaborn, and matplotlib.