Lovable Prompt Creator - AI Prompt Generator

 for session management, historical data, and AI explanations.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript.
- **Styling**: Tailwind CSS.
- **UI Components**: shadcn/ui.
- **State Management**: Redux or Context API (specify as needed).

## IMPLEMENTATION STEPS
1. **Set up the project**: Initialize a new React project with TypeScript and configure Tailwind CSS for styling.
2. **Create the main layout**: Develop a responsive layout using Tailwind CSS that includes a navigation bar, main content area, and footer.
3. **Implement core features**: 
   - Set up the Offline Mode functionality to manage local game data.
   - Integrate the Game Analysis Engine with the defined strategies.
   - Develop the Photo/Screenshot Analyzer using the camera and gallery integration.
4. **Design user interface components**: Use shadcn/ui for building buttons, cards, and input fields, ensuring consistency with the defined de## APPLICATION OVERVIEW
BALA35 is a sophisticated Android application designed for game intelligence and statistical analysis. It provides users with powerful offline and online modes for analyzing game data, leveraging AI for insightful explanations without the need for stock market functionalities. The application is optimized for performance, ensuring a smooth user experience on modern Android devices.

## CORE FEATURES
1. **Offline Mode**: Users can access local game history and perform various statistical analyses without an internet connection, including sequence and pattern analysis.
2. **Online Mode**: When connected, users can synchronize data with external sources and receive updated analysis, with optional AI assistance.
3. **Game Analysis Engine**: Implements 15 robust analysis strategies, providing detailed results with probabilities, sample sizes, and timestamps.
4. **Photo/Screenshot Analyzer**: Users can capture or import images for analysis, with a clear workflow for confirming extracted data and running statistical evaluations.
5. **Session Management**: Comprehensive session tracking that records history, predictions, and outcomes, allowing users to manage their analysis sessions effectively.
6. **AI Explanation Feature**: Offers concise explanations of analytical results, detailing observed factors and uncertainties, supporting English, Hindi, and Marathi 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 will consist of a structured navigation bar, primary content area for analysis results, and dedicated sectionssign specifications.
5. **Session Management**: Create UI components for starting, pausing, resuming, and ending sessions, with a history display.
6. **Integrate AI Explanation Feature**: Build a dedicated screen for AI explanations of analytical results, ensuring multilingual support.
7. **Testing and optimization**: Perform testing on various devices to ensure smooth performance and a 60 FPS target, optimizing database queries and image processing.

## USER EXPERIENCE
Users will enjoy an intuitive and responsive application experience, with easy navigation through game analysis features. The workflow for capturing images and running analyses is streamlined to maximize efficiency, providing immediate feedback and results within a targeted timeframe. Users can easily manage their sessions and access detailed insights, ensuring a comprehensive understanding of their game data. 

This prompt provides a clear roadmap for developing the BALA35 Android application, ensuring that it meets the specified requirements and delivers an exceptional user experience.