Pneumonia Detection From Chest X-Ray
Gaikwad Poorva
The increasing prevalence of pneumonia underscores the urgent need for efficient and accessible diagnostic tools. This paper presents a modern, secure, multi-disease Progressive Web Application (PWA) designed for pneumonia detection using advanced deep learning techniques, including You Only Look Once (YOLO) and Convolutional Neural Network (CNN) architectures. The proposed application integrates real-time detection capabilities by leveraging a Fast-YOLO model for rapid image analysis and a comprehensive dataset for robust neural network training. Performance evaluation using key metrics such as accuracy, recall, and F1-score demonstrates the effectiveness of the system in clinical scenarios. The experimental results highlight the potential of AI-driven diagnostic solutions to support early detection and decision-making, particularly in under-resourced healthcare environments. Future research directions include improving model explainability through visual interpretation techniques, optimizing deployment performance for low-bandwidth environments, and enhancing overall user experience to ensure wider adoption in real-world medical settings.