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Development of Cross-Platform Mobile Application for Urban Green Mapping with Machine Learning Integration

future-processing.com

Non-profit

Environmental Services

Information technology

Challenge in Urban Green Space Engagement and Data Collection

Need for a user-friendly mobile application to promote environmental engagement, collect multi-modal data (visual, text, location) about urban trees, and create an up-to-date digital green map while ensuring accessibility for diverse age groups and digital proficiency levels.

About the Client

Independent non-governmental organization focused on building a data-driven society through technology, public data access, and civic engagement initiatives.

Objectives for Enhanced Environmental Engagement Platform

Develop cross-platform mobile application (iOS/Android) with unified codebase
Implement machine learning model for tree species recognition from visual data
Establish scalable cloud infrastructure for data storage and model training
Promote civic participation through accessible data collection interface

Core System Functionalities and Features

User registration and profile management
Multi-modal data input (text, images, GPS coordinates)
Machine learning-powered tree species identification
AR-based gamification for user engagement
Real-time data visualization dashboard

Technology Stack Requirements

Azure Cloud Platform

React Native framework

Machine Learning model development (Python/TensorFlow)

Cloud-native database solutions

ARKit/ARCore for augmented reality features

System Integration Needs

Cloud storage APIs for scalable data management
Machine learning model inference APIs
Third-party mapping and geolocation services (Google Maps API)
Cross-platform authentication services

Operational and Technical Requirements

Cloud infrastructure scalability for variable user loads
Cross-platform compatibility and performance optimization
Data security and privacy compliance (GDPR)
High-availability cloud architecture
Cost-effective resource scaling

Expected Impact on Environmental Engagement and Data Accuracy

Enables creation of first real-time urban green map with crowdsourced data, enhances environmental education through AI-powered species recognition, increases civic participation across demographics, and establishes scalable foundation for future AR-based gamification features while maintaining cost-efficient cloud operations.