Park Pulse

Know before you park.

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🚗 Park Pulse — Know before you park.

💡 Inspiration I’ve been late to class just because I couldn’t find parking.

On campus, parking is unpredictable — you end up circling lots, guessing where to go, and wasting time on something that should be simple. It’s a small problem, but it happens almost every day.

I wanted to build something that removes that stress completely.

🛠️ What it does Park Pulse is a smart campus parking assistant that helps students find the best available parking spot before they even arrive.

With a single tap, users can:

  • Get the best parking lot recommendation based on availability and distance
  • View parking availability across campus
  • Explore an interactive map of parking lots
  • Save preferred spots and get notified when availability changes

Instead of guessing, users can make quick, confident decisions.

⚙️ How I built it I built Park Pulse in 24 hours using Replit and iteratively refined it with Replit Agent.

I started with a very basic prototype and gradually transformed it into a full experience by:

  • Redesigning the UI for clarity and usability
  • Creating a “Find Me a Spot” feature to simulate smart recommendations
  • Designing a visual system (green/red indicators) to represent parking availability
  • Building multiple views including dashboard, lot listings, and map interface

Rather than generating everything at once, I used an iterative workflow — improving features, layout, and logic step by step.

⚡ Challenges I ran into One of the biggest challenges was simulating real-time parking availability.

Since live campus parking data isn’t easily accessible, I had to design a system that realistically represents availability without relying on external APIs.

Another challenge was balancing features with time. In a 24-hour build, it’s easy to overbuild, so I had to focus on delivering a clean, functional core experience instead of trying to do everything.

🧠 What I learned This project taught me how to:

  • Build and iterate quickly under time pressure
  • Prioritize user experience over unnecessary features
  • Use AI tools like Replit Agent effectively as a collaborator, not just a generator
  • Turn a personal frustration into a working product

🚀 What’s next for Park Pulse In the future, I’d want to:

  • Integrate real-time parking data from campuses
  • Add predictive availability using historical patterns
  • Expand beyond campuses into city parking

📌 Final thoughts Park Pulse started as a simple idea based on a real problem I face.

It’s not just about parking — it’s about removing everyday friction from student life.

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