One of the main challOne of the main challenges was automating medical report summarization in a way that provided concise yet clinically accurate insights for doctors. Additionally, ensuring that the Med Knowledge Cloud delivered reliable and contextually relevant medical information required a robust AI model. Structuring a comprehensive drug reference system with detailed descriptions, usage information, and expiry tracking was another challenge, as it needed to be accurate, up-to-date, and easily accessible for medical professionals. On the administrative side, developing a real-time insights dashboard to provide hospitals with key metrics on appointments, AI-assisted diagnostics, and overall platform usage was critical for optimizing operations and resource management.enges was designing an efficient appointment and report management system that could support doctors in reviewing and tracking patient history, adding treatment recommendations, and summarizing lab reports using AI. Ensuring data security and compliance with medical regulations was also a key concern. Another challenge was integrating the Med Knowledge Cloud, which needed to provide fast, AI-generated medical insights using Google MedLM while allowing doctors to save and organize research for later use. Additionally, structuring a comprehensive drug reference system that included detailed descriptions, usage information, and expiry tracking was essential for supporting accurate decision-making. On the administrative side, developing a real-time insights dashboard to provide hospitals with key metrics on appointments, AI-assisted diagnostics, and overall platform usage was critical for optimizing operations and resource management.