The problem HEALTHALIGN solves

Personalized Health Assessments: By using AI to generate tailored quizzes, Healthalign allows users to gain insights into their health conditions based on their unique symptoms and medical history.

Access to Professional Guidance: It connects users with certified nutritionists and dietitians, enabling them to receive personalized advice and diet plans tailored to their specific needs.

Comprehensive Health Data Management: Users can store and manage their health data securely, track their health progress, and maintain a history of their consultations and interactions, facilitating better health management.

Convenient and Efficient Healthcare Solutions: By integrating AI and professional expertise, Healthalign simplifies the process of obtaining health advice, making it accessible and efficient for users to take proactive steps towards managing their health.

A Platform for Healthcare Experts: Healthalign also provides a platform where certified healthcare experts, such as nutritionists and dietitians, can apply for job opportunities to offer their services and guidance to patients. This enables experts to connect with users in need of personalized healthcare, fostering a community of professional support for further assistance.

Challenges we ran into

AI Integration Challenges: One of the primary features of our website is the AI-driven health quiz, which required complex algorithms and data handling. During development, we faced bugs related to the AI model's integration with the front-end interface. For example, the quiz results were not always correctly mapping to the user interface, causing confusion in displaying accurate health risk assessments.
Responsiveness and Compatibility: Ensuring that the website was fully responsive across different devices was another significant challenge. We had issues where certain elements, like the quiz progress bar and CTA buttons, would not display correctly on mobile devices. This required us to revisit our CSS and JavaScript code to ensure cross-browser compatibility and responsiveness.
Data Storage and Retrieval Errors: We encountered bugs when implementing the feature allowing patients to store their health data and view chat histories with experts. There were instances where data retrieval was slow or sometimes incomplete, which led to a suboptimal user experience. This required us to optimize our database queries and improve our data management strategies.
Unanticipated Costs:

AWS Services Charge: During development, we encountered an unexpected challenge with our AWS (Amazon Web Services) usage. Despite our efforts to monitor costs, we were unexpectedly charged $80 due to unanticipated service usage. This was a significant surprise as we were unaware of certain aspects of AWS's billing structure, particularly with the usage of some storage and data transfer services that accumulated over time. This taught us the importance of closely monitoring cloud service usage and setting up instances of proper sizes and budget limits