Blog

In this comprehensive tutorial, I walk through the process of building a deep learning system to detect COVID-19 from chest X-ray images. I cover data preprocessing, model architecture, training strategies, and evaluation metrics. The post includes code snippets, visualizations, and practical tips for dealing with medical imaging datasets.

Attention mechanisms have revolutionized natural language processing in recent years. In this post, I break down how attention works, why it's so effective, and how to implement it from scratch in PyTorch. I also explore different variants of attention mechanisms and their applications in modern NLP models.

Based on my field research in rural Bangladesh, this post explores how IoT technologies can be adapted for low-resource agricultural settings. I discuss the technical challenges of deploying sensors in remote areas, designing user-friendly interfaces for farmers with limited technical literacy, and creating resilient systems that can operate with intermittent power and connectivity.

This detailed tutorial outlines the process of building a complete optical character recognition (OCR) system for Bangla handwritten text. I cover everything from dataset creation and preprocessing to model architecture selection, training procedures, and post-processing techniques. The post includes a comprehensive comparison of different approaches and practical code examples.