Lung Lens

LungLens is an educational application developed to demonstrate the capabilities of MobileNetV3 and Computer Vision technology. This academic project showcases how machine learning models can be trained to recognize visual patterns in chest X-ray imagery based on public research datasets. ​This app is strictly a technical demonstration for students and researchers interested in AI and image classification. ​⚠️ DISCLAIMER: This app is a student research project for educational and demonstration purposes only. It is NOT a medical device. The model outputs are based on fixed datasets and do not reflect real-time medical diagnosis. Do not use this app for health decision-making. ​🌟 Technical Features: ✅ Image Pattern Analysis – Demonstrates how CNN models categorize images into labeled classes (e.g., Normal, Viral Pneumonia, Bacterial Tuberculosis, COVID-19 labels). ✅ MobileNetV3 Implementation – Optimized for mobile devices to show lightweight model performance. ✅ Offline Inference – Runs the neural network locally on the device for educational demonstration without internet. ✅ Privacy Focused – No image data is collected or sent to external servers. ​📌 How It Works (Demo): 1️⃣ Load a sample X-ray image to test the model. 2️⃣ The app runs a computer vision inference process. 3️⃣ View the probability score distribution across the training classes. 4️⃣ Analyze the model's confidence level for academic study. ​Note: This application is for academic reference only to demonstrate machine learning architecture. It does not provide medical advice or diagnostic results.