Build a CNN to Detect COVID, Pneumonia from X-rays | Tamil Deep Learning Project | Adi Explains

Welcome to Adi Explains, your go-to Tamil channel for deep learning, AI, and machine learning concepts made simple! In this video, we dive into a real-world Convolutional Neural Network (CNN) project, where we build a deep learning model that can classify chest X-ray images into three categories: COVID-19, Normal lungs, and Pneumonia. This hands-on tutorial is fully explained in Tamil, making it accessible for Tamil-speaking students, beginners, and professionals who want to learn by doing. The project is based on a practical healthcare use case — using X-ray images to detect and classify respiratory conditions. Given the real-world importance of quick and accurate diagnosis, especially during the COVID-19 pandemic, this CNN-based model is not just an academic exercise but a meaningful application of AI in medicine. If you’re a final-year college student looking for a high-impact, relevant deep learning project, this video is tailored just for you. In this video, you’ll learn how to build, train, and evaluate a CNN model using Python and popular libraries like TensorFlow and Keras. We cover every stage of the process: loading and preprocessing the X-ray dataset, building the CNN architecture from scratch, and fine-tuning the model for better performance. You’ll understand how the model learns features from X-ray images using convolutional layers, and how it uses these features to make predictions. What makes this video unique is that all technical explanations, code walkthroughs, and visualizations are provided in Tamil, making it easier for native Tamil speakers to grasp even the most complex topics. Whether you're just starting with deep learning or already have some background, this tutorial will help you understand how CNNs work in real-world projects — not just theory. The tutorial includes clear explanations of convolutional layers, filters, activation functions (like ReLU), pooling layers, and fully connected layers. You’ll also learn about image preproce