Explainable Chest X-Ray AI Demo

via Freelancer ·

Budget / Salary₹600–1,500
TypeFreelance project
LocationRemote
Posted1 hour ago
LungLens AI — Explainable Multi-Disease Chest X-Ray Analysis Platform is an AI-powered research and educational web application designed to analyze chest X-ray images using a pretrained DenseNet-121 deep learning model. Its purpose is to explore multiple potential lung and chest abnormalities through multi-label model predictions, provide visual explanations using Grad-CAM heatmaps, and generate downloadable PDF reports containing the image, model scores, and analysis metadata. The application also includes image validation to reject unsuitable inputs before inference, a modern interactive dashboard, image preprocessing, error handling, and model information. The project deliverables include a working web demo, complete Python source code, pretrained model integration, image validation pipeline, Grad-CAM explainability module, downloadable PDF report generation, automated tests, README with setup instructions, project report, and genuine application screenshots. The system is intended for educational and research purposes only, not for clinical diagnosis or medical decision-making.
python machine learning (ml) image processing web development computer vision deep learning convolutional neural network
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