Capability 01
Real Time Crowd Aggregation
The Foundational Data Layer pulls in Google APIs data and aggregates it into a simple percentage based view of how crowded a searched location currently is.
Crowdcheck
During COVID 19, one of the simplest but most valuable pieces of information people needed was also one of the hardest to find: how crowded is this place right now? Crowdcheck was built to answer exactly that question, giving users a real-time, map based view of crowd density at locations around them.
Case Study Technologies Used
Front End
Back End
Database
Others
Kotlin
Native Android development with modern Jetpack architecture.
Impact study
Real Time Crowd Insight for Safer Social Distancing
During COVID 19, one of the simplest but most valuable pieces of information people needed was also one of the hardest to find: how crowded is this place right now? Crowdcheck was built to answer exactly that question, giving users a real-time, map based view of crowd density at locations around them.
This case study highlights how eForte used Velocity AI and Foundational Data Layer principles, layered on top of Google's own mapping data, to help people plan safer outings during a period of genuine public health concern.
Pillars involved
- Velocity AI
- Foundational Data Layer
Deliverables
- 01
Native Android and iOS applications
- 02
Kotlin based Android build using Jetpack components and MVVM architecture
- 03
Google Maps API integration
- 04
Real time crowd density aggregation
- 05
Multi destination and category based search
The Challenge
Public health guidance during the pandemic emphasized avoiding crowded spaces, but ther
Public health guidance during the pandemic emphasized avoiding crowded spaces, but there was no simple, at-a-glance way for someone to know how busy a specific location actually was before heading out. Existing map apps showed directions and reviews, not real-time crowd conditions.
Crowdcheck needed a way to responsibly aggregate existing public data on foot traffic and present it in a way that was genuinely useful for quick, in the moment decisions, without requiring users to manually check multiple sources.
Public health guidance during the pandemic emphasized avoiding crowded spaces, but there was no simple, at-a-g…
Solution
Built for measurable impact
eForte built Crowdcheck as a focused, purpose-built app centered entirely on making crowd data usable in real time.
Capability 02
Multi Destination Search and Comparison
Velocity AI powers the search experience, letting users check a single destination or compare multiple locations across different categories at once, each with a detailed crowdedness graph.
Capability 03
Clean, Native Mobile Experience
Built natively for Android using Kotlin, Android Architecture Components, and an MVVM design pattern, the app was engineered to feel fast and responsive when users needed answers quickly.
Results
Outcomes that matter
Crowdcheck gave people a genuinely useful tool for navigating public spaces more safely during a period of real uncertainty.
Faster, More Confident Decisions
Users could check crowd levels before leaving home, rather than discovering a crowded space after arriving.
Broader Location Coverage
Category based search let users explore alternatives when their first choice was too crowded.
Clear, Visual Crowd Data
The crowdedness graph turned raw aggregated data into something genuinely easy to understand at a glance.
Key takeaway
A Timely, Purpose Built Response eForte delivered the app quickly enough to be genuinely useful during the period when it mattered most. Crowdcheck remains one of eForte's clearest examples of building fast, focused technology in direct response to a real community need.
Impact study
Crowdcheck
Real Time Crowd Insight for Safer Social Distancing
