
QR Tree Scanner is a modern web application that uses QR code technology to provide instant access to tree species information, care guidelines, and ecological data. Python scripts handle tree identification and backend processing for fast, scalable data management.
Tech Stack: Next.js, TypeScript, Tailwind CSS, Python
Challenges: Fast QR code recognition across devices, offline data access for field use, and managing large datasets of tree species and locations.
Methodologies: Agile development, mobile-first design, Python scripts for data processing, continuous integration with automated testing, and API-first architecture.
Future Upgrades: AI-powered tree identification, gamification of tree planting and care, integration with environmental data sources, and AR-based visualization of tree growth and health.
Clients/Stakeholders: Environmental NGOs, Urban Forestry Departments, Community Tree Programs
Estimated Users: 1,000+ users, 20,000+ trees scanned
Users
Trees Scanned

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