Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
The AI-Powered Dynamic Mental Health Monitoring and Distress Prediction System aims to provide continuous psychological support for victims of atrocities by utilizing AI technologies. This web application will monitor and predict psychological distress, enabling timely interventions and enhancing victim support throughout their legal and rehabilitation processes.

## CORE FEATURES
1. **Dynamic Interaction Mechanisms**: Implement periodic interactions via chatbot, IVRS calls, SMS, and mobile applications to engage victims and gather data on their well-being.
2. **Sentiment and Emotion Analysis**: Utilize NLP and emotion AI to analyze voice and text responses, providing insights into the psychological state of victims.
3. **Distress Score Generation**: Create a dynamic distress score based on analyzed data, allowing for longitudinal trend analysis and risk assessment.
4. **Crisis Prediction and Alerts**: Predict potential escalations in psychological distress and trigger alerts to counselors and authorities when risk thresholds are exceeded.
5. **Dashboard for Monitoring**: Develop dashboards for district, state, and national levels to visualize data on high-risk cases and monitor victim support metrics.
6. **Intervention Recommendations**: Automatically recommend appropriate interventions based on distress scores, including counseling, medical support, and legal aid.

## 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**: A single-page layout featuring a hero section, main features, and a contact form. The dashboard will be designed with a grid layout to display key metrics and insights effectively.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Redux or Context API (choose based on complexity requirements)

## IMPLEMENTATION STEPS
1. **Set up the React project**: Initialize a new React project with TypeScript and install necessary dependencies including Tailwind CSS.
2. **Design the UI components**: Create reusable components such as buttons, cards, and forms with the specified styles and border radius.
3. **Implement the chatbot and interaction mechanisms**: Integrate chatbot functionality and set up IVRS call capabilities to interact with victims.
4. **Develop sentiment and emotion analysis features**: Utilize external APIs or libraries for sentiment analysis and emotion detection.
5. **Create the distress score algorithm**: Build the algorithm for calculating the distress score based on user interactions and responses.
6. **Set up the alert system**: Implement functionality to trigger alerts based on predefined distress thresholds and integrate with notification systems.
7. **Build the dashboard**: Create the dashboard interface to visualize data, including charts and tables for monitoring victim status and intervention outcomes.
8. **Ensure data privacy and compliance**: Implement necessary security measures for data protection and compliance with legal standards.

## USER EXPERIENCE
Users will interact with the application primarily through the chatbot and IVRS systems, providing their feedback and receiving timely check-ins. The dashboard will allow counselors and district authorities to monitor distress scores and alerts in real-time, helping them make informed decisions regarding interventions. The layout will be intuitive, ensuring a seamless experience for all users, with a clear focus on essential information and actions.