BrainBoard

AI Thinking Canvas

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Inspiration

Most AI tools today depend on typing. But real thinking isn’t linear—people sketch, draw arrows, circle ideas, write side notes, and think visually. During hackathons and rapid ideation, thoughts move faster than structured text can capture. We wanted an AI that understands how humans actually think, not just what they type. That inspired BrainBoard AI—a workspace where you think visually, and Gemini thinks deeply.

What it does

BrainBoard AI is a multimodal thinking canvas powered by Gemini 3 Pro. Users can draw ideas, write notes, sketch system architecture, brainstorm features, draft study concepts, or attach real-world references. With one tap of THINK, BrainBoard sends everything to Gemini, which analyzes the visuals and context together and returns:

Structured understanding Critical feedback Identified mistakes or logical gaps A refined explanation A clear, numbered execution roadmap BrainBoard turns messy ideas into actionable intelligence.

How we built it

BrainBoard is built as a mobile-first web application optimized for both desktop and smartphones. We built a custom high-precision HTML5 canvas engine with DPR scaling for smooth drawing and visual clarity. A lightweight markdown text panel provides contextual grounding. LocalStorage allows persistent idea history and an “intellectual vault.”

The AI core uses Gemini 3 Pro via @google/genai, sending combined input (canvas + notes + description) in a single multimodal reasoning request to keep API usage efficient while maximizing intelligence depth.

Challenges we ran into

Designing a canvas UX that feels natural on both mobile and desktop Structuring multimodal requests efficiently while staying within rate limits Balancing visual creativity with technical precision Engineering reliable persistence without a backend Preventing AI hallucination and ensuring grounded reasoning

Accomplishments that we're proud of

Built a working, intuitive multimodal AI workspace Demonstrated Gemini as a true thinking engine, not just a chatbot Created a tool genuinely useful for students, developers, founders, and innovators Achieved a smooth mobile drawing experience Kept everything performant, lightweight, and practical

What we learned

We learned how powerful Gemini 3 is when used beyond chat interfaces. We learned: how to design multimodal prompts how to ground AI reasoning using real context how to think like product designers, not just developers how small UX decisions massively impact AI usability

What's next for BrainBoard

Camera-based real-world capture and reasoning Whiteboard & document understanding Cloud sync for cross-device idea vault Team collaboration + shared boards Export AI roadmaps to Notion / Jira Advanced brainstorming intelligence modes BrainBoard is just the beginning of visual-reasoning AI.

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