How We Built WildTrack AI: A Multi-Tech Approach to Revolutionizing Wildlife Exploration
MohammadMahdi Negahban
Posted on November 19, 2024
π Introduction
Hi Dev Community! π
Iβm excited to share WildTrack AI, an app designed to revolutionize wildlife exploration by combining advanced AI, Objective-C, Swift, and SwiftUI technologies. This app leverages modern development tools to identify animals, provide detailed species data, and even measure paw prints using AR technology. Whether youβre a developer interested in building multi-tech apps or just a nature enthusiast, this post dives into the technical journey behind WildTrack AI.
β¨ Key Features
1οΈβ£ Discover and Learn
- π¦ Extensive Animal Database: High-quality images, videos, and species descriptions.
- πΊοΈ Range Maps: Visualize habitats and access tracking tips.
- π΅ Animal Sounds: Hear wildlife and learn through direct links to trusted sources like Wikipedia and National Geographic.
2οΈβ£ AI-Powered Identification
- πΎ Paw Print Recognition: Scan prints to identify species with AI.
- π· Photo Uploads: Upload images for animal recognition.
- π AR Ruler: Measure prints for better tracking and identification.
3οΈβ£ Explore National Parks
- π Filter by Continent or Name: Discover parks based on location.
- π¦ Comprehensive Details: See weather, species, galleries, and directions.
4οΈβ£ In-Depth Wildlife Guides
- π¦Ά Pocket Paw Print Guides: Track animals with accurate illustrations.
- π Personal Journal: Record observations for each species.
- π΄ Offline Access: Enjoy wildlife exploration even without internet.
π§ The Tech Stack
WildTrack AI was built by integrating multiple technologies to deliver a robust and seamless user experience:
Objective-C Foundation
The app's core functionalities are built using Objective-C, providing stability and compatibility with legacy iOS features.
Swift & SwiftUI
To ensure a modern, user-friendly interface, we utilized Swift and SwiftUI for dynamic UI components, smooth animations, and real-time interactivity.
AI-Powered Identification
WildTrack AI uses custom-trained models for image recognition and paw print analysis, allowing the app to identify animal species with high accuracy. These models were integrated with the app's backend for seamless processing.
ARKit Integration
The AR Ruler was implemented using Appleβs ARKit, enabling users to measure paw prints in real-world environments with precision.
Offline Access with Core Data
Core Data ensures that essential animal data is accessible offline, making the app reliable for field use where connectivity may be limited.
π οΈ Challenges and Solutions
1οΈβ£ AI Model Optimization
- Challenge: The initial models required high processing power, impacting app performance.
- Solution: We optimized the models for iOS devices, balancing accuracy and speed without compromising results.
2οΈβ£ Privacy Compliance
- Challenge: Ensuring the app adhered to App Store guidelines for data collection and privacy.
- Solution: We removed unnecessary permissions (e.g., camera and contacts) and clarified location access usage for users.
3οΈβ£ Multi-Tech Integration
- Challenge: Combining Objective-C with Swift and SwiftUI components.
- Solution: Using bridging headers and modular design ensured smooth interoperability between technologies.
π Lessons Learned
- Hybrid Development: Mixing legacy and modern technologies can be powerful, but requires careful planning.
- User Privacy Matters: Transparent data usage builds trust and ensures compliance with platform guidelines.
- AI Enhances Experiences: Leveraging AI in niche applications like wildlife exploration can create impactful tools.
π² Try WildTrack AI
Iβd love for you to try WildTrack AI and share your thoughts!
Download on the App Store:(https://apps.apple.com/us/app/wildtrackai-discover-nature/id6661030161)
Website:
(https://WildTrackAI.com)
π Letβs Collaborate!
Are you working on a multi-tech app or have ideas for enhancing wildlife exploration with technology? Letβs discuss! Drop your feedback, questions, or suggestions in the comments below.
Thank you for being part of this journey to connect technology with nature! ππΎ
Posted on November 19, 2024
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November 19, 2024