# Plug and Play: Project G-Assist Plug-in Hackathon for Home Control Develop custom plug-ins that add functionality to [Project G-Assist](https://www.nvidia.com/en-us/software/nvidia-app/g-assist/), an experimental assistant that runs locally on RTX™ AI PCs. Submit your best entries for a chance to win an NVIDIA GeForce RTX 5090 GPU, NVIDIA GeForce RTX 5080 GPU, or NVIDIA GeForce RTX 5070 GPU. * * * ## Hackathon Overview To join this hackathon, build a Project G-Assist plug-in themed around home control. Your plug-in can leverage automation tools like IFTTT, connect with smart home ecosystems and assistants (e.g., Google Home), or communicate directly with your devices. Your plug-in will enable on-device, AI-assisted functionality that responds to text or voice commands. The hackathon will run from October 16 to November 13, 2025. Winners will be announced on or around December 15, 2025. _See [Terms and Conditions](https://developer.nvidia.com/downloads/terms-and-service/g-assist-hackathon/10_16_25_g-assist_hackathon_for_home_control_contest_terms_and_conditions.pdf)._ ### What is a Project G-Assist Plug-In? Plug-ins are custom add-ons that extend G-Assist functionality using its open framework. Some example plug-ins include controlling your PC with voice or text commands, managing peripheral lighting, or summoning other software. The plug-in architecture makes it easy to get started and define new commands for G-Assist to execute. You can build plug-ins in C++ or Python and connect G-Assist with your devices. ### IFTTT Sample Plug-In The IFTTT plug-in is built as a Python-based G-Assist plug-in that communicates with IFTTT's API. The plug-in follows a command-based architecture where it continuously listens for commands from G-Assist and executes corresponding IFTTT operations. This allows users to trigger IFTTT applets and manage smart home devices using voice commands. [Access GitHub Repo](https://github.com/NVIDIA/G-Assist/tree/main/plugins/examples/ifttt) ### Nanoleaf Illumination Sample Plug-in Transform your Nanoleaf LED panels into an interactive lighting experience with G-Assist! This Python-based plug-in lets you control your Nanoleaf lights using simple voice commands or the G-Assist interface. Whether you want to set the mood for a movie night or brighten up your workspace, controlling your Nanoleaf panels has never been easier. [Access GitHub Repo](https://github.com/NVIDIA/G-Assist/tree/main/plugins/examples/nanoleaf) ### Logitech G Illumination Sample Plug-in Transform your Logitech G devices into an interactive lighting experience with G-Assist! This Python-based plug-in lets you control your Logitech RGB lighting using simple voice commands or the G-Assist interface. Whether you're gaming or working, controlling your Logitech lighting has never been easier. [Access GitHub Repo](https://github.com/NVIDIA/G-Assist/tree/main/plugins/examples/logiled) * * * ## Hackathon Process ![](https://developer.download.nvidia.com/icons/m48-download.svg) ### Step 1: Start Now Register to join the hackathon, and get a head start with our curated technical resources. ![](https://developer.download.nvidia.com/icons/app-acceleration.svg) ### Step 2: Build Your Project Get started creating an amazing plug-in! - Explore our [G-Assist repository](https://github.com/NVIDIA/g-assist) and try out our ChatGPT plug-in builder assistant - Join the [NVIDIA Developer Discord channel](https://discord.gg/C8FKNVMnhq) to connect with NVIDIA experts and other developers ![](https://developer.download.nvidia.com/icons/user-experience-1.svg) ### Step 3: Submit Your Entry Submit your project with the following: - Upload your plug-in to the [Project G-Assist Mod.io Hub](https://mod.io/g/g-assist) - GitHub repo including: - Source Code File (plug-in.py) - Requirements.txt - Manifest.json - Config.json (if applicable) - Plug-in Executable File - READme - A short video highlighting the plug-in in action (0:30–2:00) - Social post promoting your plug-in and video overview on X, Instagram and/or TikTok, using #AIonRTXHackathon * * * ## Getting Started Resources ### G-Assist GitHub NVIDIA’s [GitHub repository](https://github.com/NVIDIA/g-assist) provides everything needed to get started on developing with G-Assist—including sample plug-ins, step-by-step instructions, and documentation for building custom functionalities. ### ChatGPT Plugin Builder Transform your ideas into functional G-Assist plug-ins with minimal coding. [This tool](https://chatgpt.com/g/g-67bcb083cc0c8191b7ca74993785baad-g-assist-plugin-builder) uses OpenAI’s Custom GPT to generate plug-in code, making it easier than ever to extend G-Assist’s capabilities. Whether you want to create a weather plug-in, a task manager, or any other custom functionality, the Plugin Builder streamlines the entire development process. ### Create a Plugin with Python Transform your Python applications into powerful AI-enabled experiences with G-Assist! Our [G-Assist Python Binding and instructions](https://github.com/NVIDIA/G-Assist/blob/main/api/bindings/python/README.md) makes it incredibly easy to integrate G-Assist's capabilities into your Python projects. We've abstracted away the complexity of state machines and callbacks, making everything beautifully synchronous and straightforward. ### How to Create a Plug-in Walkthrough In [this blog](https://developer.nvidia.com/blog/building-g-assist-plugin-twitch-integration/), we’ll walk through the architecture of a G-Assist plug-in using a Twitch integration as our example. You’ll learn how plug-ins work, how they communicate with G-Assist, and how to build your own from scratch. Whether you’re a Python dev, C++ enthusiast, or just getting started, we’ve got tools and templates to make plug-in development fast and approachable. * * * ## Judging Criteria ### Innovation and Creativity Show us your most innovative plug-in ideas. We can't wait to see what you dream up! ### Technical Execution We’ll be looking at how solid the foundation is—technical depth, G-Assist integration, scalability, and how well the tools were put to work. ### Usability and Community Impact We’re looking for easy to use plug-ins that can help anyone with an NVIDIA RTX GPU and smart home devices. Focus on practical, high-impact plug-ins that make everyday experiences better for a wide range of users. It is also important that your plug-in is easy to install; minimize setup steps as much as possible.. * * * ## Prizing ### First Place GeForce RTX 5090 GPU DLI Self-Paced Course Credit Social Promotion by NVIDIA ### Second Place GeForce RTX 5080 GPU DLI Self-Paced Course Credit Social Promotion by NVIDIA ### Third Place GeForce RTX 5070 GPU DLI Self-Paced Course Credit Social Promotion by NVIDIA * * * ## NVIDIA Developer Discord Need help as you build your plug-in? Join our [Discord](https://discord.gg/C8FKNVMnhq) to share your creations, join G-Assist conversations, and get help from our community or from NVIDIA experts directly. [Join Our Discord](https://discord.gg/C8FKNVMnhq) * * * ## Previous Project G-Assist Plug-in Hackathon Winners ### Flux Plug-in for G-Assist Brian C. built the [Flux Plug-in for Project G-Assist](https://mod.io/g/g-assist/m/flux)which brings real-time AI image generation directly to the desktop through natural language commands ### ### LoreMaster Mika W. created[LoreMaster](https://mod.io/g/g-assist/m/loremaster#description), a plug-in for G-Assist that allows users to have real-time AI conversations with any video game character. ### ### LaunchPad Mukund A. built [LaunchPad](https://mod.io/g/g-assist/m/launchpad), a G-Assist plug-in that lets you instantly switch between custom modes, each preconfigured with groups of applications. Ready to build and share your own G-Assist plug-in? Join the hackathon now.