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How to Build an AI Book Cataloging App with Gemini Flash and Google AI Studio

Create a practical application that automatically catalogs your books by analyzing a video of your collection using Gemini Flash and Google AI Studio, then deploy it with Cloud Run to make it shareable.

From How I AI

How I AI: Anish Acharya's 3 Creative AI Workflows for Music Videos, Book Cataloging, and Personal Finance

with Claire Vo

How to Build an AI Book Cataloging App with Gemini Flash and Google AI Studio

Tools Used

Gemini

Google AI assistant

Step-by-Step Guide

1

Create the App in Google AI Studio

Navigate to Google AI Studio and use a simple text prompt to define the functionality of your application. The model will interpret your request and generate the underlying structure of the app.

Prompt:
Create an app that takes a video of a person flipping through their book collection and extracts the author and title of every book shown.
Pro Tip: Be as specific as possible in your prompt. Clearly state the input (video of books) and the desired output (a list of authors and titles).
2

Record and Process Your Book Collection Video

Use your phone to take a short video, slowly flipping through the books on your shelf or in a stack. The app will ingest this video, break it down into individual frames, and use Gemini Flash's vision model to analyze each frame.

3

Extract Book Data

The AI model will automatically identify the book covers in the video frames and perform Optical Character Recognition (OCR) to extract the text, specifically identifying and parsing out the author and title for each book.

4

Deploy the Application

Once the app is working as intended within Google AI Studio, use a service like Cloud Run to deploy it. This will make the app live and accessible via a simple, shareable web link.

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