Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This project is a web application designed to provide an AI-powered dynamic mental health monitoring and distress prediction system for victims of atrocities. The main purpose is to facilitate continuous monitoring of psychological well-being and to predict distress, enabling timely interventions and support throughout the legal and rehabilitation processes.

## CORE FEATURES
1. **Continuous Interaction**: Conduct periodic check-ins with victims via chatbot, IVRS calls, SMS, and mobile applications to gather feedback on their mental health status.
2. **Sentiment Analysis & NLP**: Analyze voice and text responses to assess emotional states, employing natural language processing and sentiment analysis to understand user engagement.
3. **Dynamic Distress Score**: Generate and track a distress score that indicates the psychological state of victims, allowing for longitudinal analysis and risk assessment.
4. **Real-Time Alerts**: Trigger alerts to designated officials and counselors when distress thresholds are crossed, ensuring immediate attention to high-risk cases.
5. **Dashboard for Monitoring**: Provide interactive dashboards at district, state, and national levels for monitoring victims, facilitating data-driven decisions for policymakers.
6. **Privacy and Compliance**: Ensure the application adheres to legal and ethical standards regarding data privacy and security, maintaining explainable AI practices.

## 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 clean header, a central user interaction area, and a sidebar for navigation, ensuring easy access to features while keeping the interface uncluttered.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Redux or Context API for managing application state.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize the React project using Create React App with TypeScript template.
2. **Install Dependencies**: Add Tailwind CSS, Redux (or Context API), and shadcn/ui for UI components.
3. **Develop UI Components**: Create reusable components for buttons, forms, and dashboards styled with Tailwind CSS, ensuring adherence to design specifications.
4. **Implement Core Features**: 
   - Set up the chatbot and IVRS interaction mechanisms.
   - Integrate NLP and sentiment analysis APIs.
   - Establish real-time data processing and alert systems.
5. **Create Dashboards**: Develop interactive dashboards for monitoring distress scores and tracking victim data, utilizing chart libraries for visualization.
6. **Implement Security Measures**: Ensure data protection protocols and compliance with legal standards are implemented throughout the application.

## USER EXPERIENCE
Users will interact with the application through a streamlined interface that allows for easy check-ins and updates on their mental health status. The chatbot facilitates initial interactions, while dashboards provide an overview of their distress scores and any alerts. The design focuses on simplicity and accessibility, ensuring users can navigate through the application without confusion.