by crc

AI Eye

Test this app for free
55
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class StandaloneApplication(BaseApplication):
    def __init__(self, app, options=None):
        self.application = app
        self.options = options or {}
        super().__init__()

    def load_config(self):
        # Apply configuration to Gunicorn
        for key, value in self.options.items():
            if key in self.cfg.settings and value is not None:
                self.cfg.set(key.lower(), value)

    def load(self):
Get full code

Frequently Asked Questions

What is the primary purpose of the AI Eye application?

The primary purpose of AI Eye is to assist blind users in navigating their environment. It allows users to capture images with a single button press, which are then analyzed by AI to provide detailed descriptions. These descriptions are converted to speech, offering blind users auditory information about their surroundings.

How can AI Eye be adapted for different industries or use cases?

AI Eye can be adapted for various industries and use cases: - Retail: Helping visually impaired customers navigate stores and identify products. - Tourism: Providing audio descriptions of landmarks and attractions. - Education: Assisting visually impaired students in understanding visual content in classrooms. - Healthcare: Helping patients navigate hospitals or describing medical imaging results. - Manufacturing: Aiding visually impaired workers in identifying parts or reading instructions.

What are the potential monetization strategies for AI Eye?

Several monetization strategies could be applied to AI Eye: - Freemium model: Offer basic features for free, with advanced capabilities available through subscription. - Partnerships: Collaborate with organizations serving the visually impaired community. - White-labeling: License the technology to companies for integration into their own applications. - API access: Provide API access to the image analysis and description features for developers. - Customization services: Offer tailored solutions for specific industries or use cases.

How can I modify AI Eye to support additional languages?

AI Eye already supports multiple languages through the user's browser settings. To add more languages or customize language handling, you can modify the capture_image function in routes.py. Here's an example of how to add a new language:

```python @app.route("/capture", methods=["POST"]) def capture_image(): # ... existing code ...

   user_lang = request.args.get('lang', request.accept_languages.best_match(['en', 'es', 'fr', 'de', 'it', 'ja', 'ko', 'zh', 'ru'], default='en'))

   # Add language-specific handling
   if user_lang == 'ru':
       prompt = "Проанализируйте это изображение и предоставьте подробное описание, чтобы помочь слепому человеку понять окружающую среду и ориентироваться в ней."
   else:
       prompt = f"Analyze this image and provide a detailed description to help a blind person understand and navigate the environment. Please respond in {user_lang}."

   # ... rest of the function ...

```

This modification adds support for Russian and customizes the prompt for that language.

Can AI Eye be extended to provide more interactive features for users?

Absolutely! AI Eye can be enhanced with more interactive features. For example, you could add voice commands to allow users to ask questions about the captured image. Here's a basic implementation in the home.js file:

```javascript function setupVoiceCommands() { const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; const recognition = new SpeechRecognition();

   recognition.onresult = (event) => {
       const command = event.results[0][0].transcript.toLowerCase();
       if (command.includes('describe')) {
           captureImage();
       } else if (command.includes('what color')) {
           // Implement color detection logic
           speak("I'm sorry, color detection is not yet implemented.");
       }
   };

   recognition.start();

}

// Call this function after the page loads setupVoiceCommands(); ```

This code sets up basic voice command recognition, allowing users to trigger image capture by saying "describe" and potentially ask about colors in the future. Remember to handle continuous listening and error cases in a production environment.

Created: | Last Updated:

Web app for blind users to navigate by capturing images with a single button, utilizing AI for image description and text-to-speech conversion. I hope other people out there can extend this template and make it really useful for people that could benefit from it.

Here's a step-by-step guide for using the AI Eye template:

Introduction

The AI Eye template provides a web application designed to assist blind users in navigating their environment. It captures images with a single button press, utilizes AI for image description, and converts text to speech. This guide will walk you through setting up and using the template.

Getting Started

  1. Click "Start with this Template" to begin using the AI Eye template in the Lazy Builder interface.

Initial Setup

To use this template, you'll need to set up an OpenAI API key:

  1. Go to OpenAI's website and create an account or log in.
  2. Navigate to the API section and generate a new API key.
  3. In the Lazy Builder, go to the Environment Secrets tab.
  4. Add a new secret with the key OPENAI_API_KEY and paste your OpenAI API key as the value.

Test the Application

  1. Click the "Test" button in the Lazy Builder interface to deploy the application.
  2. Wait for the deployment process to complete.
  3. Once deployed, you'll receive a server link to access the web application.

Using the App

  1. Open the provided server link in a web browser on a mobile device.
  2. The entire screen acts as a capture button.
  3. To use the app:
  4. Tap anywhere on the screen to capture an image.
  5. The app will process the image and provide an audio description of the environment.
  6. Listen to the description to understand your surroundings.

Features

  • The app uses the device's rear-facing camera for image capture.
  • Image descriptions are provided in the user's preferred language (based on browser settings).
  • The screen is kept awake to prevent sleep during use.
  • The app works as a Progressive Web App (PWA) and can be installed on supported devices.

By following these steps, you'll have a functional AI-powered navigation assistant for blind users. The app captures images, processes them using AI, and provides audio descriptions to help users understand their environment.



Here are 5 key business benefits for this AI Eye template:

Template Benefits

  1. Accessibility Innovation: This template provides a foundation for developing assistive technology applications, potentially opening up new markets in the accessibility sector and demonstrating corporate social responsibility.

  2. AI Integration Showcase: The template demonstrates practical application of AI in everyday scenarios, serving as a powerful portfolio piece or proof-of-concept for companies looking to showcase their AI capabilities.

  3. Cross-platform Potential: With its web-based architecture, this template can be easily adapted for various platforms (mobile, desktop, wearables), maximizing potential user reach and market penetration.

  4. Scalable Architecture: The modular design and use of Flask framework allows for easy scaling and addition of new features, making it an excellent starting point for larger, more complex projects.

  5. Multi-language Support: Built-in multi-language capabilities cater to a global market, potentially increasing the user base and commercial viability of applications built on this template.

Technologies

Streamline Google Cloud Platform Operations with Lazy AI: Automate Deployments, Scaling, Monitoring and More Streamline Google Cloud Platform Operations with Lazy AI: Automate Deployments, Scaling, Monitoring and More

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