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itsvickiey/ai-land-health-scout

Domaine:

agriculturegeospatialenvironment and energy

Type de record:

softwaretools
Créateur:
its
Hôte:
Watch as I click this degraded farmland in Kenya. In seconds, our AI analyzes satellite data and provides: vegetation health score, erosion risks, water management tips, and the top regenerative action like 'plant drought-resistant cover crops # 🌱 AI Land Health Scout AI Land Health Scout is a web-based application that uses **Google Gemini AI** and **remote sensing data** to analyze global land health, vegetation conditions, and soil erosion risks through an interactive map interface. --- ## 🎮 FEATURES ### 🌍 Core Features 1. **Interactive Global Map** - Multiple base layers (Street, Satellite, Terrain) - Country borders and labels - Click-to-analyze functionality for any location 2. **🤖 AI-Powered Land Analysis** - Real-time land health assessment powered by **Google Gemini AI** - Vegetation health scoring using **NDVI (Normalized Difference Vegetation Index)** - Soil erosion and degradation risk analysis - Water body and resource assessment for sustainability 3. **📍 Smart Location Detection** - Automatic country recognition via geolocation - Reverse geocoding for precise area names - Provides regional environmental insights 4. **📊 Comprehensive Reporting** - Automatically generates **structured land health reports** - Offers **country-specific recommendations** - One-click **export to PDF or CSV** - Includes **actionable regeneration and sustainability plans** --- ### ⚙️ Advanced Features - 🎲 Random country analysis (for demo/testing) - 📡 “Use My Location” geolocation functionality - 🗺️ Multiple map layer toggling - 📱 Fully mobile-responsive UI - 🔄 Offline fallback for cached analysis --- ## 🏃 GETTING STARTED ### ✅ Prerequisites Before using this project, ensure you have: - A modern web browser (Chrome, Firefox, Safari, or Edge) - Stable internet connection (for AI API requests) - **Google Gemini API Key** (for full AI-based analysis) --- ### 💻 Installation & Setup ```bash # 1. Clone the repository git clone github.com # 2. Navigate into the project directory cd ai-land-health-scout # 3. Open the project in your browser open index.html # OR run a local server (Python example) python -m http.server 8000 ``` --- ### 🧠 Usage 1. Open the app in yo …

Visit

github.com

Tasks

computer vision

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