In today’s fast-paced world, managing health is increasingly challenging. People often struggle with tracking health data, maintaining regular checkups, and adhering to medication schedules. Fragmented solutions can lead to missed appointments, forgotten medications, and poor awareness of health conditions, which may result in complications and long-term issues.
Our platform addresses these challenges by offering an integrated solution for tracking health data, booking appointments, receiving medication reminders, and sending emergency alerts. By consolidating these features into one easy-to-use system, it simplifies health management, helping users stay organized, monitor their well-being, and be prepared for emergencies with a proactive approach.
We encountered significant challenges with our project, primarily related to hosting and integration. The first challenge involved hosting the server.js file, which required efficient management of server-side operations and ensuring reliable performance. The second challenge was hosting the machine learning (ML) model, which demanded robust infrastructure to manage and deploy the model effectively.
Despite our efforts, these issues hindered our progress. We struggled to find a seamless solution for integrating and maintaining both the server and ML model in a production environment. This experience highlighted the need for more advanced strategies and tools to address hosting complexities and improve overall project deployment.
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