Campus Sentinel

Monitor, predict, and prevent campus health risks with AI.

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Inspiration

Campus Sentinel was inspired by the need for safer, healthier campuses. Outbreaks and illnesses spread quickly in school and university settings, and administrators often lack real-time insight into student health. We wanted to create a tool that combines AI prediction, analytics, and visualization to help campuses respond proactively and protect students.

What it does

Campus Sentinel is a campus health monitoring and prediction platform. Users can:

  • Enter symptoms to get AI-based illness predictions
  • Access a health dashboard showing trends and analytics
  • Visualize campus-wide health data with interactive heatmaps
  • Track potential outbreaks and provide recommendations to improve safety

It turns raw health reports into actionable insights for students, teachers, and administrators.

How we built it

  • Frontend: Next.js for a responsive, clean UI
  • Backend / API: Node.js serverless functions handling symptom input and prediction requests
  • AI: Integrated AI models to predict potential illnesses based on user-reported symptoms
  • Data visualization: Interactive dashboards and heatmaps using chart libraries
  • Deployment: Vercel for fast, reliable hosting
  • Collaboration tools: GitHub for version control and task tracking

Challenges we ran into

  • Designing an AI model accurate enough to provide useful predictions
  • Creating intuitive dashboards that are informative without being overwhelming
  • Ensuring the app works seamlessly across devices
  • Handling mock campus data for testing while keeping it realistic

Accomplishments that we're proud of

  • Built a fully functioning MVP within a tight timeline
  • Created interactive heatmaps and dashboards that visualize campus health trends
  • Integrated AI-driven symptom analysis for real-time predictions
  • Produced a responsive and polished interface that users can easily navigate

What we learned

  • How to integrate AI models into a live web application
  • The importance of data visualization in conveying complex information
  • Challenges of building an app for real-time user input and analysis
  • The value of planning features based on user impact rather than just tech complexity

What's next for Campus Sentinel

  • Expand the AI model with more data for more accurate predictions
  • Add alerts and notifications for outbreaks or high-risk symptoms
  • Integrate student health profiles and personalized recommendations
  • Enable campus-wide reporting and admin controls for better decision-making
  • Potentially expand beyond campuses to communities and public spaces

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