🌸 FloraQuest

FloraQuest is a modern web application for plant recognition, environmental data visualization, and interactive storytelling. Built with React and Vite, it leverages machine learning models for plant identification and provides a rich user experience with maps, charts, and camera integration.

🗺️ Features

• Plant Recognition: Identify plants using on-device ML models (TFLite) and a simple camera interface.
• Interactive Map: Visualize geolocated data points and environmental layers.
• Charts & Data Visualization: Explore time series and environmental data with interactive charts.
• Story Mode: Engage with educational stories about nature and biodiversity.
• Feed: Browse recent activity and discoveries.

💻 Test Now

• Site: FloraQuest

🐝 Project Structure

projeto/BloomStack/
├── app.js
├── index.html
├── package.json
├── vite.config.js
├── src/
│   ├── main.jsx
│   ├── Home.jsx
│   ├── pages/
│   │   ├── About/
│   │   ├── Camera/
│   │   ├── Charts/
│   │   ├── Feed/
│   │   ├── Map/
│   │   ├── Point/
│   │   └── Story/
│   ├── services/
│   └── api/
├── public/
│   └── models/
│       ├── isPlant/
│       └── plantRecogntion/
└── data/

🚦 Getting Started

💻 Prerequisites

• Node.js (v16 or higher recommended)
• npm or yarn

⚙️ Installation

1. Clone the repository:

   git clone https://github.com/Higor-H/BloomStack.git
   cd /BloomStack

2. Install dependencies:

   npm install
   # or
   yarn install

3. Start the development server:

   npm run dev
   # or
   yarn dev

4. Open http://localhost:5173 in your browser.

🧭 Usage

• Use the navigation menu to explore features: Map, Camera, Charts, Feed, Story, and About.
• Try the Camera page to identify plants using your device's camera.
• Explore the Map and Charts for environmental data.

🤖 Machine Learning Models

• TFLite models for plant recognition are located in public/models/.
• Labels and model files are included for both plant detection and recognition.

🗂️ Folder Overview

• src/pages/ — Main application pages (Map, Camera, Charts, Feed, Story, About, Point)
• src/services/ — Service modules for ML, map layers, and storage
• src/api/ — API integration
• public/models/ — ML models and label files
• data/ — Sample datasets

💬 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

👥 Authors

• Ana Luisa Silva do Amaral
• Eduardo Zorzan
• Gabriela Superti
• Higor-H
• Lauro D. Ferneda
• MariaChehade

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— MIT License Author: joergmlpts Repository: https://github.com/joergmlpts/nature-id?tab=MIT-1-ov-file

Usage: Was used the trained model for identifying scientific names of plants.

FloraQuest: Growing knowledge, one plant at a time.