I am currently building an AI-powered heart disease detector in Python using VS Code. To train and validate the system, I am leveraging the classic Cleveland Heart Disease dataset from Kaggle.
So far, I have successfully trained my first baseline model. I am now in the process of training several alternative models using different algorithmic approaches to determine which method yields the highest accuracy. Moving forward, my primary focus will be optimizing the top-performing model to maximize its precision and recall.
Once the core machine learning engine is finalized, I will shift my attention to building an intuitive user interface and writing a comprehensive technical report detailing the entire development process. To ensure complete transparency and traceability, I am meticulously documenting every model iteration alongside its subsequent performance improvements or declines. Stay tuned for the results!