SnapAnimal AI - AI-Powered Wildlife Identification Mobile App

Project Title: SnapAnimal AI - AI-Powered Wildlife Identification Mobile App

Project Description:

Goals: The primary goal of this project was to develop an innovative mobile application that democratizes wildlife identification through the use of artificial intelligence. SnapAnimal AI aims to bridge the gap between curiosity and knowledge by providing instant, accurate animal identification while fostering wildlife education through engaging interactive features for nature enthusiasts, educators, and families worldwide.

Solution: I developed a comprehensive cross-platform mobile application featuring:

AI-Powered Recognition Engine: Integrated Google's Gemini model via Firebase Vertex AI for instant, accurate animal identification from photos with detailed species information.

Educational Quiz System: Built interactive image and text-based quizzes with three difficulty levels (Easy: 10 questions, Medium: 20, Hard: 30) featuring confetti animations for completed quizzes. Personal Collections Gallery: Implemented a paginated animal collection system where users can save and revisit their discoveries, building their personal wildlife encyclopedia. Premium Subscription Model: Integrated RevenueCat for monetization with a 3-day free trial, offering unlimited identifications and an ad-free experience. Multi-Platform Authentication: Supported Google Sign-In, Apple Sign-In, and email authentication for seamless user onboarding. Enhanced User Experience: Implemented dark mode as the default theme, share functionality, in-app reviews, and rate-us features to boost engagement.

Technical Implementation:

Built with Flutter and Dart for native performance across iOS and Android platforms

Utilized BLoC pattern for scalable state management and clean architecture

Integrated Firebase suite (Auth, Firestore, Storage) for robust backend infrastructure

Implemented camera and photo library permissions for seamless image capture

Followed feature-based architecture for modularity and maintainability

Optimized performance with pagination and efficient image handling

Impact: This project delivers a transformative wildlife education tool that:

Enables instant animal identification for millions of species, making nature exploration accessible to everyone

Enhances environmental education through gamified learning experiences

Builds user engagement with personal discovery tracking and achievement systems

Generates sustainable revenue through thoughtfully designed subscription tiers

Promotes wildlife conservation awareness by connecting users with nature through technology