Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This application is a real-time AI-based interview platform that allows users to engage in one-on-one voice interviews with an AI assistant. The AI will ask questions vocally, and users will respond in real-time. At the end of the session, the AI evaluates the user's performance based on their answers, vocabulary, and pronunciation. The platform also features video calling to create a more authentic interview experience.

## CORE FEATURES
1. **AI Voice Interaction**: The AI assistant will pose interview questions using natural language voice, ensuring an interactive experience.
2. **Real-Time Response**: Users can respond to questions in real-time, facilitating a smooth and dynamic conversation flow.
3. **Pronunciation and Vocabulary Evaluation**: At the end of the interview, the AI provides feedback on the user's pronunciation and vocabulary usage, helping them improve.
4. **Video Calling Integration**: The platform includes a video calling feature to enhance the interview atmosphere, ensuring users feel engaged and sincere.
5. **User Profile Management**: Users can create and manage their profiles, including past interview results and feedback for continuous improvement.
6. **Interview History**: A feature that allows users to review previous interview sessions and feedback, enabling them to track their progress over time.

## DESIGN SPECIFICATIONS
- **Visual Style**: Minimalist design focused on clean lines, ample white space, and a simple layout to enhance usability.
- **Color Mode**: Light theme with dark text on light backgrounds, ensuring readability and a modern aesthetic.
- **Layout**: The main layout will consist of a header with navigation options, a central video and voice interaction area, user feedback sections, and a footer with contact information and links to resources.
- **Typography**: Use sans-serif fonts like Inter or Roboto for headings and body text, with a clear hierarchy (e.g., larger font for headings, medium for subheadings, and regular for body text).

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript to ensure type safety and robustness.
- **Styling**: Tailwind CSS for utility-first styling, allowing for rapid design iteration and responsiveness.
- **UI Components**: Utilize shadcn/ui for pre-built components that adhere to the minimalist design principle.
- **State Management**: Use React Context API or Redux for managing global state, particularly for user sessions and interview data.

## IMPLEMENTATION STEPS
1. **Set up the React project**: Initialize a new React project with TypeScript and install necessary dependencies (React, Tailwind CSS, shadcn/ui).
2. **Create the main layout**: Build out the header, central interaction area, and footer using Tailwind CSS for styling.
3. **Integrate video calling**: Implement a video calling solution (e.g., WebRTC) to facilitate real-time communication.
4. **Develop the AI interaction module**: Integrate a voice recognition API (like Google Cloud Speech-to-Text) for processing user responses and an NLP engine to generate questions.
5. **Implement user profiles**: Create user authentication and profile management features to store user data securely.
6. **Build the evaluation system**: Develop the algorithm for evaluating user responses based on set criteria for pronunciation and vocabulary.
7. **Testing and optimization**: Conduct user testing to gather feedback and optimize the application for performance and usability.

## USER EXPERIENCE
Users will enter the platform and create a profile. Once logged in, they can start an interview session where the AI assistant greets them and begins asking questions. Users respond using their voice, and the AI listens and processes their answers in real-time. After the interview, users receive feedback on their performance, which they can review in their profile section along with their interview history. The entire experience is designed to be intuitive, encouraging users to engage fully with the AI and improve their interview skills in a supportive environment.