coder4-c/landguard-ai-kenya

# LandGuard AI Kenya LandGuard AI Kenya is an innovative project focused on leveraging artificial intelligence to address land management, monitoring, and protection challenges in Kenya. The project aims to provide tools and solutions that enable stakeholders—including government agencies, communities, and NGOs—to efficiently track, analyze, and safeguard land resources. ## Features - **AI-Powered Land Monitoring**: Utilize machine learning models to detect and report land encroachment, illegal activities, and environmental changes. - **Geospatial Analysis**: Integrate satellite imagery and GIS data for detailed spatial assessments. - **Automated Alerts**: Get notified of suspicious activities or significant changes in monitored areas. - **Data Dashboard**: Visualize statistics, trends, and actionable insights through an interactive dashboard. - **Reporting Tools**: Generate comprehensive reports for stakeholders and decision-makers. ## Technology Stack This repository is composed of multiple languages and technologies, including: - **Python**: Core AI and data processing modules - **JavaScript/TypeScript**: Dashboard frontend and visualization - **Shell scripts**: Automation and deployment utilities - **Other**: Additional supporting scripts and configuration files ## Getting Started 1. **Clone the Repository** ```sh git clone github.com cd landguard-ai-kenya ``` 2. **Install Dependencies** - Python: ```sh pip install -r requirements.txt ``` - Node.js (for frontend): ```sh cd dashboard npm install ``` 3. **Configuration** - Copy `.env.example` to `.env` and set your environment variables (API keys, database URLs, etc.) 4. **Run the Application** - Backend: ```sh python main.py ``` - Frontend: ```sh cd dashboard npm start ``` ## Usage - Access the dashboard via your browser at `localhost` - Configure monitoring zones and alert preferences - Review reports and analytics in the dashboard ## Contributing …