Hacktoberfest Hack Day Malappuram x Mulearn
About
Hacktoberfest Hack Day Malappuram × µLearn is a one-day, in-person hack day focused on open-source AI, collaboration, and hands-on building.
Join fellow developers, students, and technology enthusiasts to learn, collaborate, build innovative projects, and explore the possibilities of open-source AI. Participants will have the opportunity to work on their ideas, receive guidance from mentors, and showcase their projects.
The event will feature technical sessions, hands-on hacking, mentorship, project submissions, demos, and judging. Participants will compete for the Best Open-Source AI Project and any additional partner challenges assigned to the event.
Come with an idea, build with your team, learn from the community, and make an impact through open source.
Organized by µLearn Malappuram in collaboration with Hacktoberfest 2026 and Major League Hacking (MLH).
Prize Categories
2 categories- View Best Use of Gemma 4DDeepmind Google
Best Use of Gemma 4
It’s time to see how much you can build with a lightweight, open model. Gemma 4 packs multimodal intelligence into an open-weights model that you can access through the Gemini API. So, what can Gemma 4 bring to your project?
- Multimodal Experience: Work with text and images to create an assistant that understands more of what users share.
- Focused AI Tools: Build a focused AI tool for learning, creativity, productivity, or your community.
- Rapid Prototyping: Experiment with an open model while using the Gemini API to move quickly from an idea to a working prototype.
Bring your idea to life… what will you build with Gemma 4 today?
Build with Gemma 4View category - View Best Open-Source AI Project
Best Open-Source AI Project
Exclusive Hacktoberfest 2026 Winner DEV Badge & MLH Swag Bag
Build an original project that uses open-source or open-weight AI as an important part of how it works. Teams could create an agent skill, build with an open-weight large or small language model, or build or adapt an open-source model harness. These are examples within one challenge, and teams may combine them.
Open-source or open-weight AI must be an important part of the project.
The project must be published in a public GitHub repository and use an open-source license.
An agent skill must comply with the Agent Skill Open Standard.
A model-harness entry must include an original implementation or meaningful changes to an existing open-source harness.
Build with DigitalOceanView category