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Development of a Real-Time Air Quality Monitoring Mobile Application for Urban Wellness
  1. case
  2. Development of a Real-Time Air Quality Monitoring Mobile Application for Urban Wellness

Development of a Real-Time Air Quality Monitoring Mobile Application for Urban Wellness

dac.digital
Consumer products & services
Medical
Health and Wellness

Challenge: Enhancing Urban Air Quality Awareness through Integrated Mobile Solutions

The client faces a need to provide urban residents with real-time air quality information integrated with personal activity data. The previous focus on consumer health protection was disrupted by external events, requiring rapid development of an application that connects with wearable air quality devices and external pollution data sources. Key challenges include creating a stable, cross-platform mobile app capable of collecting, displaying, and managing environmental and activity data within a limited timeframe and budget.

About the Client

A mid-sized company specializing in wearable health technology aiming to develop an integrated mobile app for air quality data and activity tracking.

Goals for Developing a Smart Air Quality and Activity Monitoring Mobile App

  • Design and develop a cross-platform mobile application compatible with iOS and Android devices.
  • Implement real-time data collection from wearable air quality sensors, including metrics such as activity duration, breathing patterns, and filtered air levels.
  • Integrate external air pollution data from crowdsourced sources or sensors to provide contextual environmental information.
  • Ensure rapid deployment within a narrow time-to-market window using efficient development frameworks.
  • Enable app features such as battery and filter status indicators, activity summaries, and pollution level alerts.
  • Provide post-launch support for maintaining app stability and incorporating updates over a six-month period.

Core Functional Specifications for the Air Quality & Activity Monitoring App

  • Bluetooth connectivity with wearable air quality sensors to transmit activity and filtered air data.
  • Integration with external air quality data sources to provide current pollution levels in user vicinity.
  • Display of activity duration, filtered air quantity (e.g., equivalent of health-filtered breaths), and sensor battery/filter status.
  • Real-time air quality updates with user notifications for pollution alerts.
  • Modular architecture allowing easy updates and feature enhancements.
  • Support for both iOS and Android platforms with high performance and stability.

Recommended Technical Stack for Rapid Mobile App Deployment

React Native for cross-platform mobile development
Firebase Backend as a Service (BaaS) for swift data management and app support
Bluetooth Low Energy (BLE) for device integration
RESTful APIs for external air quality data sources

Necessary External System Integrations

  • Wearable air quality sensors via Bluetooth BLE
  • External air pollution data systems (e.g., crowdsourced sensors, environmental APIs)
  • App store deployment platforms (Apple App Store, Google Play)

Critical Non-Functional Requirements for App Performance

  • Cross-platform stability with high code reusability (achieved via React Native)
  • Performance optimized for real-time data updates with minimal latency
  • Secure data transmission and storage aligned with privacy standards
  • Quick development cycles to meet a tight market window (target: 3-4 months)
  • High app availability with minimal downtime, supported by post-launch maintenance

Projected Business Impact and Expected Outcomes

By developing an integrated, real-time air quality and activity monitoring mobile application, the client aims to empower urban residents with accurate environmental data and health metrics. The project is expected to facilitate rapid market entry within a 3-4 month timeframe, improve user engagement through real-time updates, and support health-conscious urban lifestyles. Enhanced data collection and user feedback could lead to increased product adoption, higher user satisfaction, and potential for future feature expansion, mirroring previous successful implementations with high user ratings and reliable performance.

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