Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
The application is a web-based platform that utilizes AI to predict betting odds for casino games, specifically focusing on the Lucky Jet game. Its primary purpose is to analyze past odds data and generate future predictions autonomously, providing users with insights to enhance their betting strategies.

## CORE FEATURES
1. **AI Odds Prediction**: Utilizes machine learning algorithms to analyze historical data and predict future betting odds for the Lucky Jet game.
2. **Real-time Data Fetching**: Connects to an API to retrieve the latest odds and trends, ensuring that predictions are based on the most current information available.
3. **Trend Analysis Dashboard**: Provides a user-friendly interface to visualize trends in betting odds over time, allowing users to make informed decisions.
4. **Automated Betting Alerts**: Sends notifications to users about significant changes in odds or trends, helping them act quickly on potential betting opportunities.
5. **User Activity Log**: Tracks user interactions and historical betting decisions, providing insights into past performance and trends.
6. **Customization Options**: Allows users to set preferences for notifications and dashboard layouts to personalize their experience.

## DESIGN SPECIFICATIONS
- **Visual Style**: Minimalist - A clean, simple design with ample white space, focusing on easy navigation and readability.
- **Color Mode**: Light theme with dark text on light backgrounds to ensure clarity and enhance usability.
- **Layout**: 
  - A top navigation bar for primary navigation links (e.g., Dashboard, Predictions, Alerts).
  - A main content area divided into sections for displaying trends, predictions, and user activity logs, utilizing cards for individual data points.
  - A sidebar for quick access to settings and customization options.
- **Typography**: 
  - Use of a sans-serif font for a modern look (e.g., Inter or Roboto).
  - Font sizes should vary for headings (larger and bold) and body text (standard size) to establish a clear visual hierarchy.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript for a robust and type-safe development environment.
- **Styling**: Tailwind CSS for utility-first styling to facilitate rapid design iteration and maintain consistency.
- **UI Components**: Integration of shadcn/ui for pre-designed components that align with the minimalist aesthetic.
- **State Management**: Redux Toolkit to manage application state effectively, especially for user data and predictions.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript and install Tailwind CSS along with required dependencies.
2. **Create Layout Components**: Develop the main layout including the navigation bar, sidebar, and main content area using Tailwind CSS for styling.
3. **Integrate API**: Set up API calls to fetch real-time betting data and historical odds for analysis.
4. **Implement AI Prediction Logic**: Develop the machine learning model to analyze historical data and generate predictions.
5. **Design Dashboard Features**: Create components for displaying trends, predictions, and user logs with responsive design in mind.
6. **Setup Notifications**: Implement a notification system for automated betting alerts using web sockets or a similar technology.
7. **User Customization**: Develop settings options allowing users to adjust their preferences for notifications and dashboard layouts.
8. **Testing and Optimization**: Conduct thorough testing for usability, performance, and responsiveness across various devices.

## USER EXPERIENCE
Users will interact with the application through an intuitive dashboard that displays key betting trends and predictions. Upon logging in, they will see real-time odds updates and visual trends. Users will receive alerts for significant changes and can customize their experience to highlight the data most relevant to them. The application will be fully responsive, ensuring usability on both desktop and mobile devices, providing a seamless user journey from prediction to action.