This project leveraged convolutional neural networks (CNNs) to classify chest CT images into cancerous vs. non-cancerous. Key steps: - Preprocessed DICOM images - Trained CNN on labeled data - Achieved 93% test accuracy > Result: AI-assisted diagnostics with improved early detection capability. Explore the code and methodology [on GitHub](https://github.com/DataForSolution/Data-Solution).