I built a Math Solver App using Google's Gemini Model with Flutter

Developers Hutt
18 Jan 202420:09

TLDRThis tutorial video demonstrates how to create a Math Solver App using Google's Gemini model with Flutter. The app captures an image of a math equation using the camera, sends it to Gemini via API, and displays the solution with a step-by-step explanation. The process involves setting up Flutter, adding dependencies, creating a user interface, capturing and cropping images, and handling API requests and responses.

Takeaways

  • 😀 The video demonstrates how to create a Math Solver App using Google's Gemini model with Flutter.
  • 🛠️ The app uses Flutter for development due to its ease of use and the ability to make apps relatively easily.
  • 📸 The app utilizes the camera to capture an image of a math equation and then sends this image to Gemini via API.
  • 🔄 The response from Gemini is displayed back in the app using a Text Widget.
  • 💻 The video assumes viewers have basic Flutter setup knowledge or familiarity with other SDKs.
  • 🔧 Dependencies like image_picker, image_cropper, and http are added for image handling and API requests.
  • 📱 The app initially displays a 'hello world' UI, which is then replaced with a custom UI for the math solver.
  • 🔄 Stateful widgets are used to dynamically update the image placeholder and the response from the API.
  • 📸 Image cropping functionality is implemented using the image_cropper package to focus on a single equation.
  • 🔗 The app sends a base64 encoded image to Gemini via an HTTP POST request using the provided API key.
  • 📊 The response from Gemini, which includes the solution to the equation, is parsed and displayed in the app.
  • 🔧 Custom prompts can be entered by the user to specify what type of math problem they want to solve with the image.

Q & A

  • What is the main purpose of the app described in the video?

    -The app is designed to solve math equations and provide step-by-step explanations by leveraging Google's Gemini model through its API.

  • Which technology is used to develop the app?

    -Flutter is used to develop the app because it simplifies the process of creating apps.

  • How does the app obtain images of equations?

    -The app uses the camera to capture images of equations and then processes them.

  • What is the role of the image cropper in the app?

    -The image cropper is used to crop the captured image to focus on a single equation, ensuring that only the relevant part is sent to the Gemini API.

  • How does the app handle the response from the Gemini API?

    -After receiving the response, the app displays the solution to the equation in a text widget within the app's UI.

  • What is the significance of using a stateful widget in the app?

    -A stateful widget is used because it allows for dynamic changes, such as updating the image placeholder and the response from the API, which are necessary for the app's functionality.

  • How does the app ensure that the user can only send one equation at a time?

    -The app ensures this by using an image cropper to allow the user to select a single equation from a captured image, which is then sent to the Gemini API.

  • What dependencies are added to the Flutter app for its functionality?

    -Dependencies like image_picker for capturing images, image_cropper for cropping images, and http for sending API requests are added to the Flutter app.

  • How is the API key for Google's Gemini model obtained and used in the app?

    -The API key is obtained from Google AI Studio and used in the app to authenticate API requests to the Gemini model.

  • What is the process to send an image to the Gemini API in the app?

    -The image is first encoded in base64, and then a JSON payload is prepared with the encoded image and the API key. This payload is sent via an HTTP POST request to the Gemini API.

  • How does the app handle different types of math problems, such as differentiation or integration?

    -The app allows the user to input a custom prompt through an editable text field, which can be used to specify the type of math problem to be solved by the Gemini model.

Outlines

00:00

📱 Building a Math Solving App with Flutter

This paragraph introduces the concept of creating an app using Google's Gemini model to solve math equations with step-by-step explanations. The speaker acknowledges the delay in creating this video due to the desire to build a practical application. The app development process involves using Flutter for its ease of use, capturing an image of an equation with a camera, sending the image to Gemini via API, and displaying the response in a text widget. The video will not cover Flutter setup as there are already good resources available, but will focus on the unique aspects of this project, such as setting up the UI, adding dependencies for image handling, and using stateful widgets for dynamic content updates.

05:00

📸 Integrating Camera and Image Cropping Features

The second paragraph delves into the process of integrating camera functionality and image cropping within the app. It details the use of the image picker dependency to capture images and the image cropper for refining the captured image. The speaker guides through the implementation of a floating action button to trigger the camera, handling the image capture, and updating the UI to reflect the captured image. The paragraph also covers the challenges of handling multiple equations in a single image and the solution to crop the image to focus on a single equation. Additionally, it touches on the necessary configurations for the Android manifest file to enable image cropping and the process of updating the UI to accommodate the cropped image.

10:01

🔗 Setting Up the Gemini API for Equation Solving

The third paragraph focuses on setting up the Gemini API to process the cropped images of equations. It explains the process of obtaining an API key from Google AI Studio and configuring the API request payload. The speaker describes the steps to encode the image in base64 format, prepare the JSON payload, and send a POST request to the Gemini API. The paragraph also highlights the importance of using the correct URL for Gemini Pro Vision, which is designed to handle image inputs. It discusses the debugging process to ensure the API request is successful and the app captures, crops, and sends images for equation solving.

15:03

📝 Displaying Results and Enhancing User Interaction

The final paragraph discusses the final stages of the app development, including displaying the results from the Gemini API and enhancing user interaction. It covers the creation of a text widget to display the solution and the implementation of a loading bar to indicate the processing of the API request. The speaker also introduces the concept of a custom prompt, allowing users to specify the type of mathematical problem they want to solve. The paragraph concludes with a demonstration of the app's functionality, showing how users can capture an image of an equation, crop it, set a custom prompt, and receive a step-by-step solution from the Gemini API. The video ends with an invitation for viewers to ask questions and suggest topics for future videos.

Mindmap

Keywords

💡Flutter

Flutter is an open-source UI software development kit created by Google. It is used to develop applications for mobile, web, and desktop from a single codebase. In the video, the creator uses Flutter to build a user interface for the Math Solver App, leveraging its ease of use and efficiency to create a responsive design that works across different platforms.

💡Google's Gemini Model

Google's Gemini Model refers to a set of AI models provided by Google that can understand and generate human-like text based on the input it receives. In the context of the video, Gemini is used as an API to solve mathematical equations from images, demonstrating the application of advanced AI in practical tools.

💡API

API stands for Application Programming Interface, which is a set of rules and protocols for building and interacting with software applications. The video describes how the app communicates with Google's Gemini Model through its API, sending images and receiving solutions, which is a fundamental aspect of integrating third-party services into an application.

💡Image Picker

Image Picker is a plugin used in Flutter applications to allow users to select images from their device's gallery or take new pictures using the camera. In the video script, Image Picker is utilized to capture images of mathematical equations that the user wants to solve with the app.

💡Image Cropper

Image Cropper is a tool that allows users to select a portion of an image. In the video, it is used after capturing an image with the camera to allow the user to crop the image to focus on a single equation, which is then sent to the Gemini Model for solving.

💡HTTP

HTTP (Hypertext Transfer Protocol) is the protocol used to transfer data over the internet. In the video, HTTP is used to send API requests from the app to the Gemini Model's server, carrying the image data that needs to be processed.

💡Stateful Widget

A Stateful Widget in Flutter is a widget that holds some state. The state of a stateful widget can change during the lifetime of the widget, and the framework automatically rebuilds the widget to reflect state changes. In the video, a Stateful Widget is used to update the UI dynamically as the user interacts with the app, such as capturing and cropping images.

💡Base64 Encoding

Base64 Encoding is a method used to convert binary data into ASCII text format, which can then be easily transmitted over the internet. In the video, the image captured by the app is encoded in Base64 format before being sent to the Gemini Model via an HTTP request.

💡JSON

JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for humans to read and write and easy for machines to parse and generate. In the video, JSON is used to structure the payload that is sent to the Gemini Model's API, including the encoded image and other relevant data.

💡Editable Text Field

An Editable Text Field is a UI component that allows users to enter and edit text. In the video, an editable text field is added to the app to enable users to input custom prompts for the Gemini Model, allowing for more flexibility in how the mathematical equations are processed.

💡Progress Bar

A Progress Bar is a graphical representation of the progress of a task, often showing how much of a process has been completed. In the video, a circular progress bar is displayed in the app while the HTTP request is being sent to the Gemini Model and the response is being awaited, indicating to the user that the app is processing their request.

Highlights

Creating a Math Solver App using Google's Gemini Model with Flutter

Utilizing Flutter for app development due to its ease of use

App uses camera to capture images of equations

Sending images to Gemini via API for processing

Displaying responses from Gemini in a text widget

Setting up a new Flutter project in VS Code

Using Flutter doctor to check for setup issues

Launching the app on an Android device

Adding dependencies for image handling and HTTP requests

Creating a custom UI with a stateful widget

Using a scaffold to define the app's visual layout

Implementing a floating action button to open the camera

Capturing an image and displaying it in an image widget

Cropping images to focus on a single equation using Image Cropper

Configuring Android manifest for image cropper functionality

Sending cropped images to Gemini Pro Vision API

Obtaining an API key from Google AI Studio

Encoding images to base64 for API transmission

Handling API responses to display solutions in the app

Adding a loading bar for user feedback during API requests

Allowing users to input custom prompts for Gemini

Demonstrating the app's ability to solve equations and provide step-by-step explanations

Discussing potential use cases for Gemini-based applications

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