Australian Tree ID - Tree Identification App Development
Australian Tree ID - Tree Identification App Development
Australian Tree ID is a comprehensive, helpful app to identify species of trees, conifers & palms using images & detailed descriptions. The app allows you to identify more than 235 species using a simple identification key using traits such as leaf shape and colour, flower shape and fruit type. It is difficult to identify a tree easily just by taking a glance at it. The app allows you to identify species using a simple identification key features such as the leaf shape, flower shape, fruit form and bark texture.
Challenges
1. Data Volume Management: Curating and storing a large database of 250+ species and 2,000+ images within the app while maintaining smooth offline functionality.
Efficient Identification Process: Implementing an intuitive step-by-step identification process for accurate species recognition.
3. Database Updates: Enabling straightforward updates to the database for seamless additions of new species or changes.
Solutions
** 1. Offline Functionality:** Built-in offline capabilities allow users to access data and images without internet connectivity, ideal for use in remote locations.
2. Stepwise Identification Process: Implemented a decision-tree model based on observable tree properties, making species identification user-friendly and accurate.
3. Seamless Data Updates: Integrated an Excel template system to enable easy uploads of new data or updates, simplifying maintenance for administrators.
Results
1. Increased Accessibility: Enabled users to confidently identify and learn about trees in offline mode.
2. User Engagement: Achieved over 1,000 downloads, with positive feedback from educators and nature enthusiasts for its educational value.
3. Scalability: Designed the database update mechanism to support rapid additions and expansions, ensuring the app remains current with new species information.
Core Features of Tree Identification App
1. Offline Capability: Complete offline access, with species data and images stored within the app.
2. Detailed Image Library: Contains over 2,000 high-resolution images of tree attributes like leaves, flowers, and bark.
3. Stepwise Identification: Utilizes a decision-tree approach, guiding users through identification based on observable traits.
4. Educational Gamification: Offers a quiz-like experience for young users, making learning about trees interactive.
5. Scientific and Common Names: Allows users to explore species by both common and scientific classifications.
6. Customizable Updates: Administrators can update the species database through a simple Excel upload.
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