Math Problem Solver

Overview

The Math Problem Solver is a web-based application that allows users to capture mathematical problems using a camera and instantly get solutions, including step-by-step explanations. The app uses the Google Generative AI API to process images of math problems and generate accurate solutions.

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Features

• Real-time Camera Capture: Users can point their camera at a math problem and capture it.
• AI-Powered Problem Solving: The app processes the captured image and generates a solution using advanced AI models.
• User-Friendly Interface: A clean and interactive UI with floating shapes and intuitive buttons.

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Installation

Prerequisites

1. Install Python 3.7+.
2. Install Flask.
3. Obtain an API key from Google Generative AI.

Steps

1. Clone the repository from GitHub:

   git clone https://github.com/yourusername/math-ocr-solver
   cd math-ocr-solver

2. Install required Python packages:

   pip install flask google-generativeai

3. Add your Google Generative AI API key:

   • Replace the placeholder in Main.py:

     genai.configure(api_key="YOUR_API_KEY")

     • read GET_GOOGLE_API.md for more info

4. Run the Flask app:

   python Main.py

5. Open the application in your browser at http://127.0.0.1:5000.

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Usage

1. Access the web app.
2. Use your device's camera to point at a math problem.
3. Click the Capture Image button.
4. Wait for the solution to appear below the camera feed.

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How It Works

Backend

The backend is powered by a Flask server. Upon capturing an image, the file is sent to the /process-image endpoint. The endpoint:

1. Saves the uploaded image.
2. Sends it to the Google Generative AI model for processing.
3. Returns the solution as a JSON response.

Frontend

The frontend is designed with HTML, CSS, and JavaScript:

• HTML structure (index.html) provides the layout.
• CSS (static/style.css) styles the page, adding floating shapes and clean typography.
• JavaScript handles camera operations and image capture.

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Screenshots

Future Improvements

• Add support for advanced math problems like calculus and differential equations.
• Enhance OCR capabilities for handwritten equations.
• Include voice recognition for spoken math problems.

License

This project is licensed under the MIT License. See LICENSE for more details.