Inspiration
I grew up loving science but knowing access isn’t equal. Like Senku, I believe logic should replace limitation. MechaSenku exists so curiosity doesn’t die just because resources are scarce.
What it does
MechaSenku uses Gemini 3 to explain complex science simply and find affordable material substitutes, helping anyone keep experimenting—regardless of income or location.
How we built it
Built with Streamlit and powered by Gemini 3, MechaSenku focuses on fast, accurate reasoning, clear explanations, and real-world scientific usefulness.
Challenges we ran into
Balancing simplicity with accuracy, avoiding hallucinations, and designing prompts that respect real-world constraints like cost and availability.
Accomplishments that we're proud of
We built a science assistant that prioritizes accessibility, not just intelligence, and proves advanced AI can serve low-resource learners.
What we learned
Good science communication is hard. Making it accessible is harder—but far more important.
What's next for Mecha Senku
Expand offline support, add domain modes, a graphing function that allows better substitute comparation, and a virtual sandbox to allow free experimentation.
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