Here's a summary of the interesting new GitHub repositories, focusing on unique functionalities or potential impact:

Several interesting projects appeared on GitHub today, covering topics such as cross-platform UI development, machine learning for disease prediction, automation of games, and tools for image generation using AI.

• KuiklyUI: A Kotlin-based cross-platform UI and logic solution for native development across Android, iOS, and other platforms, enabling code reuse.
• tiktok-bot: A Python script to automate TikTok actions through API interaction, including following, liking, commenting, sharing, and viewing.
• ClairObscurFix: An ASI plugin enhancing the "Clair Obscur: Expedition 33" gaming experience with features like frame rate uncapping and ultrawide support.
• rustvalidity: A comprehensive and extensible struct-level validation library for Rust, offering numerous built-in rules, custom rule support and flexible error handling.
• mcp-agent-graph: A framework facilitating the rapid development of complex agent systems through a visual graph-based editor, supporting nested agent architectures.
• Pleias-RAG-Library: This library facilitates API interaction with Pleias RAG models, enabling users to generate factual responses with structured outputs, automated citations, and seamless integration via dual backend support and JSON export.
• hayday-farming: A project automating tasks in the Hay Day farming game using Python and OpenCV.
• Liver_Disease_Prediction_Using_Machine_Learning: A project employing machine learning (SVM, Random Forest) to predict liver disease based on patient data, identifying key risk factors.
• codeview: A tool for simplifying sharing codebases with LLMs by visualizing directory structures and file contents.
• gpt-imagegen-r2: An example for generating, storing, and displaying AI images using OpenAI's GPT-image-1, Hono, Cloudflare Workers, and R2.
• mini-crm-ddd-laravel-api: A Mini CRM demonstrating modern backend practices using Laravel and DDD architecture, offering RESTful APIs with automated testing and Dockerized deployment.
• EarthShake-30-Days-of-Big-Quakes: This repository offers a complete notebook for cleaning and analyzing earthquake data using Python and key data science libraries, preparing it for in-depth exploration and potential modeling.