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Cover image for Empowering Visual Learning with AI: My Submission for the Google AI Studio Challenge
Aditya Sharma
Aditya Sharma

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Empowering Visual Learning with AI: My Submission for the Google AI Studio Challenge

#devchallenge #googleaichallenge #ai #gemini

This is a submission for the Google AI Studio Multimodal Challenge

What I Built

I created VisionTutor, an AI-powered applet designed to help students learn complex concepts through multimodal interaction. Whether it's biology diagrams, physics equations, or historical maps, VisionTutor allows users to upload images and receive contextual explanations, summaries, and interactive Q&A—all powered by Gemini 2.5 Flash.

This tool bridges the gap between visual content and textual understanding, making learning more intuitive and accessible.

Demo

You can try VisionTutor live at: https://visiontutor.ai/demo

Screenshot of VisionTutor in action

If Gemini 2.5 Flash Image is no longer available, here's a demo video showcasing the applet in action.

How I Used Google AI Studio

I leveraged Google AI Studio to fine-tune multimodal prompts that interpret images and generate educational responses. The platform’s flexibility allowed me to iterate quickly and test various use cases—from textbook scans to classroom whiteboard photos.

Multimodal Features

  • Image-to-Text Summarization: Users upload diagrams or notes, and the app generates concise summaries.
  • Interactive Q&A: Ask questions about the image and receive intelligent answers.
  • Contextual Highlighting: Key elements in the image are visually marked and explained.

These features enhance the user experience by turning static visuals into dynamic learning tools.

Team Submission: Built solo, but inspired by feedback from fellow DEV members.

Thanks for reading—and thanks to Google AI Studio and DEV for hosting this challenge!

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