Modoo-s-Collection

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# Modakbul 🐾

Modoo Collection Project Repository

Modoo Collection is a mobile service that recognizes animals through AI, collects them in your personal encyclopedia, and shares discoveries with a community of nature enthusiasts.

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📋 Project Overview

What is "Modoo Collection"?

Modoo Collection (모두의 동물도감, "Everyone's Animal Encyclopedia") is an interactive mobile application that serves as a personalized digital field guide. Users photograph animals with their smartphone camera, and a deep learning model identifies the species. Recognized animals are registered in the user's unique encyclopedia, where detailed information about each species can be explored.

🎯 Motivation & Significance

Existing Solutions	Limitations
Google Lens	Built into most smartphones; shows similar images but lacks precise taxonomic information
Merlin Bird ID	Excellent for bird identification, but limited to avian species only
Picture Bird	Specialized in birds; narrow scope of application

Modoo Collection addresses these gaps by:

• ✅ Supporting a wide range of animal species (beyond birds) with rich, educational content
• ✅ Adding gamification elements: Users actively collect species by taking photos, fostering engagement and curiosity about wildlife
• ✅ Empowering children and nature observers to learn about animal taxonomy, characteristics, and habitats while building a community-driven knowledge base

🌱 Our vision: To help users develop ecological awareness and contribute to citizen science through playful, AI-powered exploration.

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📱 Application Features

🔧 System Architecture

The project was developed with clear separation of responsibilities across three core components:

┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Frontend │────▶│ Backend │────▶│ AI Model │
│ (Mobile App) │◀────│ (Server/API) │◀────│ (Deep Learning)│
└─────────────────┘ └─────────────────┘ └─────────────────┘

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✨ Key Features

1️⃣ Animal Capture & Recognition 📸

"What animal is this?"

• Point your camera at any animal in your surroundings
• The integrated AI model analyzes the image in real-time and classifies the species
• Instant feedback with confidence scores and alternative suggestions

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2️⃣ Personal Encyclopedia & Detailed Information 📚

"Build your own wildlife collection"

• Successfully identified animals are automatically added to your personal encyclopedia
• Each entry includes:
  • 🧬 Taxonomic classification (Kingdom → Species)
  • 🚨 Conservation status (e.g., Endangered, Least Concern)
  • 📅 Date of first discovery/collection
  • 🌍 Native habitat and distribution map
  • 📝 Fun facts and behavioral insights

🎯 Current scope: 20+ animal species commonly found on campus, with plans for expansion.

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3️⃣ Community Gallery & Social Sharing 💬

"Share your discoveries with the world"

• Automatic profile creation upon login
• Personal gallery showcasing your collected species and field notes
• Interactive features:
  • ❤️ Like posts from other users
  • 💬 Comment and discuss observations
  • 🔄 Share achievements to social media

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🛠️ Tech Stack

Component	Technologies
Frontend	React Native, TypeScript, Redux
Backend	Node.js, Express, PostgreSQL, Firebase Auth
AI/ML	PyTorch, MobileNetV3, ONNX Runtime (for mobile inference)
DevOps	Docker, GitHub Actions, AWS EC2/S3

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🚀 Getting Started

https://github.com/orgs/capdale/repositories