@Sankz

The proposed medical hospital bot is an innovative AI-driven solution designed to enhance patient engagement and streamline healthcare processes. Accessible via a hospital's website or mobile app, the bot offers a range of functionalities, including user onboarding to collect essential information, a symptom checker that utilizes Natural Language Processing to provide preliminary health advice, and a specialty database for doctor recommendations based on assessed symptoms. Additionally, the bot facilitates appointment scheduling by checking real-time availability and integrating with the hospital's management system for seamless booking. It also supports payment processing and sends reminders to ensure patients stay informed about their appointments. With a focus on data management and security, this bot aims to improve patient experiences while optimizing operational efficiency within healthcare facilities, ultimately leading to better health outcomes.

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Transformers are context-learning neural networks. They learn by tracking relationships in sequential data, for example, words in sentences. You might know them as some of the best AI models in the market - OpenAI’s GPT-3 and Cohere In our 3-day Hackathon, organized along with the Swiss AI Association, you’ll use context-learning neural networks to build solutions with people from all around the globe and have an opportunity to pitch your AI Prototypes worldwide. Jump in to learn more about harnessing the power of Transformers!