patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
joreilly/ClimateTraceKMP
ClimateTraceKMP is a Kotlin/Compose Multiplatform project designed to visualize climate-related emission data sourced from climatetrace.org. The project aims to provide a comprehensive and accessible way to explore sector-specific emission data by country, leveraging a shared codebase that runs across multiple platforms including iOS, Android, Desktop, and Web. The application is still in early development stages, with ongoing work to expand the range of data and features available. The project utilizes Kotlin Multiplatform and Compose for UI development, enabling a unified user experience across diverse environments. On iOS, the app integrates both SwiftUI and Compose Multiplatform UI, offering flexibility in how the country list screen is rendered while maintaining a shared Compose-based emissions detail screen. Android, Desktop, and Web platforms (including WebAssembly and Kotlin/JS) are also supported, showcasing the versatility of the Compose Multiplatform framework. In addition to the main app, the project includes a Kotlin Notebook and an MCP Server, further extending its capabilities for data exploration and backend support. The user interface presents emission data visually, making it easier for users to understand and analyze climate impact across different sectors and regions. The repository also highlights a collection of related Kotlin Multiplatform and Compose projects by the same author, demonstrating a broad engagement with multiplatform development and UI innovation. Overall, ClimateTraceKMP serves as a valuable tool for environmental data visualization, promoting awareness and understanding of climate emissions through a modern, cross-platform application architecture.
https://github.com/joreilly/ClimateTraceKMP
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