Gizmo Guard - Safeguard Bot (Powered by Gemma4)
The Gizmo Guard is a privacy-focused, edge-based AI safety bot that uses a Raspberry Pi and ArduCam to monitor workspaces for scene changes, such as a moved mug. When motion is detected, it captures e…
The Gizmo Guard is a privacy-focused, edge-based AI safety bot that uses a Raspberry Pi and ArduCam to monitor workspaces for scene changes, such as a moved mug. When motion is detected, it captures e…
PR Sentinel is an AI-assisted tool that uses Gemma 4 to analyze React and TypeScript code snippets, generating structured engineering feedback focused on maintainability, accessibility, performance, a…
EduCloud, a fully offline AI study assistant that runs on-device using Gemma 4 to help African students turn PDFs and lecture screenshots into interactive study materials. The project, tested across 1…
Fragmented workflow of multiple AI services and chunked data processing with Google's Gemma 4 model, which runs locally on consumer hardware like an M1 MacBook Pro. By using Gemma 4's native 128K cont…
Creation of "Gdzie to wyrzucić?", a Polish recycling assistant web app built for the Gemma 4 Challenge. The app allows users to take a photo of an item, which is then analyzed by a Gemma 4 AI model to…
PocketCFO is a single-page web application that uses the Gemma 4 AI model to analyze personal finances entirely within a user's browser, ensuring no financial data ever leaves the local machine. The t…
Local video indexing system on a 2021 MacBook using Gemma 4 to solve the problem of searching through a year's worth of unlabeled wildlife and travel footage. The author realized that AI video editing…
Author's experience building an AI assistant using Gemma 4 to help Cameroonian applicants avoid mistakes on Canadian Express Entry immigration forms. Initial tests revealed that Gemma 4 gave incorrect…
The author, a photographer and software developer who splits time between the Maasai Mara and coding, built a local AI system on a five-year-old MacBook to solve the problem of indexing a year's worth…
At Google I/O 2026, the most impactful announcement for cost-conscious developers was the introduction of a cache-discount pricing tier for Gemini 2.5 Flash, which drastically reduces the cost of inpu…
Explaind**, a "cognitive steering layer" for Google's Gemma 4 model that functions as a structured prompt-assembly harness. Rather than being a chatbot or agent system, it is designed to explicitly en…
OpenGuard is an open-source, self-hosted static code analysis platform that serves as an alternative to tools like SonarQube, enabling developers to scan codebases, track security issues, and manage r…
Legal Buddy**, an AI-powered legal assistant built for the Gemma 4 Challenge that operates entirely locally via Ollama to ensure user privacy. It helps users understand, review, and draft legal docume…
The Gemma 4 26B model was the first local AI to achieve a perfect score on the HumanEval benchmark, including solving the notoriously difficult problem 145. This problem requires sorting integers by t…
Creation of "Local Gemma 4 Content Radar," a privacy-focused editorial tool that runs the Gemma 4 AI model locally to analyze content signals and produce structured publishing decisions. The tool proc…
Care Compass**, a local-first healthcare navigation demo that pairs Google's **Gemma 4** language model with **signed policy evidence** to create a governed, inspectable AI workflow. Unlike standard c…
"Your Story," a Flutter mobile app that uses local Gemma 4 AI models to power interactive fiction. Unlike traditional choose-your-own-adventure games, the app allows players to type natural language a…
LiteRT-LM, part of Google AI Edge, is an optimized runtime engine for deploying Gemma 4 models on-device across platforms like Chrome, ChromeOS, and Pixel Watch. It achieves high performance through a…
A developer's hands-on testing of Google's Gemma 4 models for a healthcare AI project in Africa. The author found that the 26B Mixture-of-Experts (MoE) model outperformed the larger 31B dense model fo…
Tool-using research agent built for the Gemma 4 DEV Challenge, which runs locally on the Gemma 4 e2b model via Ollama using roughly 200 lines of Node.js code. The agent accepts a question, selects bet…