AI-Driven Symptom Analysis: Provides users with preliminary health insights based on symptoms, enabling informed decision-making.
Doctor and Lab Finder: Locates nearby healthcare providers with their ratings, specialty, and reviews, making healthcare more accessible.
Community Support: Connects users with similar health concerns for shared experiences, anonymous discussions, and emotional support.
Disease Outbreak Alerts: Delivers location-based alerts for health risks, helping users take preventative measures & see what outbreaks are happening around them.
Secure Health Data Management: Ensures privacy-compliant, secure handling of sensitive health information, building user trust.
All-in-One Platform: Combines healthcare insights, access to services, and community features in a single, user-friendly web-app.
Challenges we ran into
Data Privacy and Compliance: Implementing secure encryption, authentication, and regulatory compliance for sensitive health data.
Accurate Symptom Analysis: Balancing AI model reliability with non-diagnostic limitations to build user trust.
Real-Time Outbreak Data: Integrating dependable data sources for timely, location-specific disease outbreak alerts.
Community Safety: Developing AI-driven moderation to maintain safe, supportive interactions in anonymous discussions.
UI/UX Consistency: Ensuring seamless navigation across symptom analysis, doctor finder, community, and data management features.
Tracks Applied (1)
Best Use of MongoDB Atlas
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