Generative AI has now become a booming software in the present digital and modernized world. This has proven its worth by showcasing excellent and reliable results in multiple fields, the one field that needs concentration is the Medical and Healthcare Industry as it is very complex and people rely on it. Machine Learning and Deep Learning Architectures can meticulously diagnose diseases so that public can evaluate and practitioners can analyze effortlessly. The model that we are discussing in this report is the advancement of the existing models with the integration of Generative AI and incorporating Image pre-processing techniques like Image Enhancement, and Disease Classification using AI, Machine Learning, Deep Learning, CNN, NLP, XAI (Explainable AI), Visual Transformers, GANs, LLMs, Web Technologies, SVM, OpenCV and G-AI API References to deliver tailored diet, exercise, remedies, medication, diagnosis and consultation advice based on comprehensive medical history, and Customer Data. This paper also discusses on the comparison of various state-of-the-art disease classification models to be incorporated in our model.