Los ojos - LoVeo es una app móvil con IA que actúa como de una persona ciega.
Generated Prompt
## APPLICATION OVERVIEW LoVeo is a web application designed to serve as a real-time assistant for visually impaired individuals by utilizing AI technology. It continuously analyzes the environment through a smartphone camera, providing audio descriptions of surroundings without requiring user intervention. The primary audience for this application includes institutions such as municipalities, ONCE, and Smart Cities, which have a vested interest in enhancing accessibility for their constituents. ## CORE FEATURES 1. **Real-time Object Detection**: Utilizes the smartphone camera to identify and describe objects, traffic signals, and people in real-time. 2. **Voice Feedback**: Provides audio narratives about the detected items, such as the status of traffic lights and nearby pedestrians, ensuring users receive immediate information. 3. **Continuous Learning**: Employs machine learning to improve accuracy and adapt to various environments over time. 4. **Seamless Integration**: Works in the background without requiring manual activation, mimicking the assistance of a human companion. 5. **Customizable Settings**: Offers users the option to adjust voice speed, volume, and type of information provided based on personal preferences. 6. **Support for Multiple Languages**: Ensures accessibility for a broader audience by providing audio descriptions in various languages. ## DESIGN SPECIFICATIONS - **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography - **Color Mode**: Light theme with dark text on light backgrounds - **Primary Color**: #1978E5 (accent for buttons, links, highlights) - **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements - **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs - **Layout**: The main layout should be structured with a clear hero section that introduces the application, followed by sections detailing core features, user testimonials, and a call-to-action (CTA) for institutions interested in adopting the technology. ## TECHNICAL REQUIREMENTS - **Framework**: React with TypeScript - **Styling**: Tailwind CSS - **UI Components**: shadcn/ui - **State Management**: Redux Toolkit for managing application state and user settings ## IMPLEMENTATION STEPS 1. **Set Up Project**: Initialize a new React project with TypeScript and install Tailwind CSS for styling. 2. **Create Core Components**: Develop the main components including the Hero, Feature List, Testimonials, and CTA sections. 3. **Integrate AI Technology**: Implement the backend service that processes camera input and utilizes AI models for object detection and audio feedback. 4. **Implement State Management**: Set up Redux Toolkit for managing user preferences and application state. 5. **Design UI**: Apply Tailwind CSS styles based on the specified design specifications, ensuring a minimalist aesthetic with appropriate use of the primary color and typography. 6. **Testing**: Conduct thorough testing of all features, including real-time audio feedback and the responsiveness of the application across devices. 7. **Deployment**: Deploy the application on a suitable platform and ensure that it is accessible to target institutions. ## USER EXPERIENCE Users will interact with LoVeo primarily through voice feedback, receiving immediate descriptions of their environment as they navigate through different locations. The application will run in the background, providing seamless updates without requiring any manual input. Users can easily adjust settings through a simple interface, ensuring a personalized experience that caters to their individual needs. The minimalist design will enhance focus on the audio feedback, making it easier for visually impaired users to engage with their surroundings confidently.
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