2025#

Upstream Greybus Module for Zephyr#

Summary: Provide native Greybus support for platforms like BeagleConnect, eliminating reliance on external patches or custom kernel forks. This will streamline development workflows, enhance long-term support, and empower developers to utilize Greybus in Zephyr-based IoT and embedded projects with greater ease and reliability.

Contributor: Sahil Jaiswal

Mentors: Ayush Singh, Vaishnav Achath, Tim Orling

BeagleMind: Conversational AI Assistant for BeagleBoard Documentations#

Summary: BeagleMind aims to build an AI-powered documentation assistant for BeagleBoard that leverages Retrieval-Augmented Generation (RAG) to deliver accurate, citation-backed answers. Rather than relying on fine-tuning, the assistant uses lightweight techniques like embedding official documentation into a vector database to ground answers with relevant source material. The solution includes web and command-line interfaces, integrates automated evaluation agents to monitor response quality. This tool will enhance user experience, reduce support load, and help developers efficiently navigate BeagleBoard’s technical ecosystem.

Contributor: Fayez Zouari

Mentors: Jason Kridner, Aryan Nanda, Kumar Abhishek