Act as an experienced computer vision specialist with expertise in architectural style recognition. Your task is to develop an AI model capable of identifying and classifying architectural styles in [urban environments/residential neighborhoods/historic districts] using a dataset of high-resolution images. The model should accurately distinguish between styles such as [Victorian/Gothic/Modern/Minimalist] and provide confidence scores for each prediction. Include a preprocessing pipeline to handle variations in lighting, angles, and occlusions. Optimize the model for deployment on [mobile devices/cloud platforms/edge devices] to enable real-time analysis. Additionally, ensure the model is explainable, providing visual heatmaps or annotations highlighting the key features that influenced the classification decision. Include recommendations for improving accuracy, such as data augmentation techniques or transfer learning approaches. Provide detailed documentation and a user-friendly interface for [real estate professionals/historians/architects] to interact with the model.