Requirement Description | SR should ideally support integration with AI-powered virtual assistants (chatbots) to provide user support, answer queries, and assist with data updates for both potential and current beneficiaries. |
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Justification | Enhances user experience, provides 24/7 support, reduces burden on human staff, and improves accessibility of social protection services. |
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Use Case | Answer frequently asked questions about social protection programs Guide users through registration and data update processes Provide eligibility information for various programs Assist with basic troubleshooting for portal usage Offer multi-lingual support for diverse user populations
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Data Elements Required | User Queries, Program Information, Eligibility Criteria, User Profile Data, Interaction Logs |
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Minimum Technical Specifications | Chatbot Platform: Integration with an open-source chatbot platform (e.g., Rasa) Natural Language Processing: Basic intent recognition and entity extraction Knowledge Base: Static FAQ database Integration: REST API for accessing SR data User Interface: Web-based chat interface
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Standard Technical Specifications | Chatbot Platform: Integration with cloud-based NLP services (e.g., Dialogflow, IBM Watson) Natural Language Processing: Advanced NLP with context awareness and sentiment analysis Knowledge Base: Dynamic, updatable knowledge base with machine learning capabilities Integration: GraphQL API for efficient data querying User Interface: Omni-channel support (web, mobile app, messaging platforms)
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Advanced Technical Specifications | Chatbot Platform: Custom AI model with deep learning capabilities Natural Language Processing: Multi-lingual NLP with dialect understanding and voice recognition Knowledge Base: AI-driven, self-updating knowledge base with predictive capabilities Integration: Real-time data streaming with Apache Kafka User Interface: Conversational UI with voice interface and AR capabilities
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Security & Privacy Requirements | End-to-end encryption for all conversations Anonymization of sensitive data in logs Secure authentication for accessing personal information Compliance with data protection regulations (e.g., GDPR)
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Scalability Considerations | Containerized deployment for easy scaling Load balancing for handling multiple concurrent users Caching mechanisms for frequently accessed information
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Interoperability Requirements | APIs for extending chatbot capabilities with external services Support for standard messaging protocols (e.g., MQTT, WebSocket)
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Compliance with International Standards | WCAG 2.1 for accessibility ISO/IEC 27001 for information security management W3C Web Speech API for voice interactions
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User Interface Requirements | |
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