This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass
What I Built
Demo
🎥 Watch the short demo to see how OfflineMode works:
https://youtu.be/W4Wb3xgDhjo?si=UDLfdU9dBBVBp23g
Code
💻 GitHub
Check out the code:
https://github.com/vash57/OfflineMode
How I Built It
Open-Source AI OfflineMode uses Google's Gemma 4 E2B through Ollama for local AI responses.
The project was built with OpenCode as the AI coding assistant, while Ollama handles the local inference.
Why Does Open Innovation Matter?
Open innovation made it possible to build OfflineMode around local, open-weight AI instead of depending on a closed API.
Using Gemma 4 E2B with Ollama gives the project local inference, better privacy, and more control over how AI is used. OpenCode also helped during development by making it easier to build and iterate on the project.
A closed API could provide the AI responses, but it would make the project more dependent on an external service. With open tools, the AI can become part of the user's own environment — which fits the core idea of OfflineMode: use technology as a bridge to real life, not as the destination.
My Agent Session
Prize Categories
- Best Use of Gemma
- Best Use of GitHub Copilot
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