GeoPulse: Intelligent Location Insights for Smarter Cities

🌍 Inspiration As an aspiring SVP of Product Management at Google, I envisioned a product that uses location intelligence to reshape urban decision-making. Every city generates vast spatial data—but most of it remains underutilized. I wanted to change that by building something powerful on top of the Google Maps Platform.

🚀 What it Does GeoPulse is a real-time location analytics dashboard that uses Google Maps APIs, machine learning, and dynamic visualizations to:

Help urban planners identify traffic congestion hotspots

Assist emergency teams in optimizing response routes

Enable businesses to discover high-footfall zones

Provide citizens with live urban insights

🧠 What I Learned Product strategy: How to define a clear user problem and scope a solution fast

Google Maps APIs: Deep dive into Directions API, Places API, and Geocoding API

Real-time data ingestion using Firebase + Google Cloud Functions

Visualization using Mapbox overlays + D3.js

UX Design optimized for mobile and web dashboards

🛠️ How I Built It Defined the user personas and their pain points

Designed low-fidelity and high-fidelity wireframes using Figma

Used Google Maps JavaScript API to build custom map layers

Pulled real-time data from Firebase + Google Cloud Pub/Sub

Integrated ML-based predictive traffic analytics using TensorFlow.js

Created a responsive dashboard with React + Tailwind CSS

⚔️ Challenges Faced Data accuracy in real-time location forecasting

Balancing performance with dynamic updates on the frontend

Integrating multiple APIs simultaneously while maintaining smooth UX

Optimizing for both desktop and mobile displays

Built With

• firestore-ml:-tensorflow.js-ui:-figma
• geocoding-api)-cloud:-firebase
• google-cloud-functions
• languages:-javascript
• node.js-apis:-google-maps-platform-(directions-api
• places-api
• python-frameworks:-react
• tailwind-css-other:-mapbox