This project introduces an innovative approach to pneumonia detection from Chest X-Ray images, utilizing both a custom CNN and fine-tuning a pre-existing model, InceptionV3. By leveraging a diverse dataset and adapting pretrained features, the hybrid model demonstrates superior performance in accurately identifying pneumonia cases. This research significantly advances medical image analysis, offering an efficient tool for early detection and potentially improving patient outcomes in respiratory health.