Project Name: HLLRB (Hyper-Local Language & Resource Bridge)
Version: 1.0
Date: February 15, 2026
HLLRB is a voice-first digital platform designed to bridge the gap between rural citizens and government services by enabling access through local dialects. The platform leverages artificial intelligence to understand user intent in regional languages, verify uploaded documents, and seamlessly connect users to relevant government systems. By removing language barriers and simplifying the digital interface, HLLRB empowers underserved communities to access essential services independently.
- Enable rural citizens to access government services using voice commands in their local dialects
- Reduce dependency on intermediaries for government service applications
- Simplify document verification and submission processes
- Provide real-time status tracking for service requests
- Create an inclusive digital ecosystem that accommodates low digital literacy
- Reduce processing time for government service requests by 60%
- Achieve 95% accuracy in dialect recognition and intent detection
- Support offline-first capabilities for areas with limited connectivity
- Build a scalable platform that can be extended to multiple states and languages
- Generate analytics to help government agencies improve service delivery
- Rural Citizens: Individuals in rural areas with limited digital literacy seeking government services
- Age Group: 18-65 years
- Digital Literacy: Low to moderate
- Language Preference: Local dialects and regional languages
- Device Access: Basic smartphones with internet connectivity
- Government Officials: Service providers who process requests and manage applications
- System Administrators: Technical staff managing the platform and monitoring performance
- Support Staff: Helpdesk personnel assisting users with queries
- FR-1.1: System shall support voice input in multiple Indian regional languages and dialects
- FR-1.2: System shall provide real-time voice-to-text conversion with 95% accuracy
- FR-1.3: System shall handle background noise and varying audio quality
- FR-1.4: System shall support both continuous and push-to-talk voice input modes
- FR-1.5: System shall provide audio feedback for user confirmation
- FR-1.6: System shall allow users to replay their voice input for verification
- FR-2.1: System shall identify user intent from conversational voice input
- FR-2.2: System shall map user requests to appropriate government services
- FR-2.3: System shall handle ambiguous queries through clarifying questions
- FR-2.4: System shall support context-aware conversations across multiple turns
- FR-2.5: System shall extract key entities (name, date, location, document numbers) from user input
- FR-2.6: System shall provide confidence scores for intent classification
- FR-2.7: System shall fallback to human assistance when confidence is below threshold (70%)
- FR-3.1: System shall support image upload from camera or gallery
- FR-3.2: System shall perform OCR on uploaded documents to extract text
- FR-3.3: System shall validate document authenticity using predefined rules
- FR-3.4: System shall support multiple document formats (Aadhaar, PAN, Ration Card, etc.)
- FR-3.5: System shall provide image quality feedback before upload
- FR-3.6: System shall compress images to optimize storage and bandwidth
- FR-3.7: System shall maintain document version history
- FR-3.8: System shall mask sensitive information in document previews
- FR-4.1: System shall route requests to appropriate government service APIs
- FR-4.2: System shall maintain a service catalog with eligibility criteria
- FR-4.3: System shall pre-fill application forms using extracted data
- FR-4.4: System shall validate user eligibility before submission
- FR-4.5: System shall generate unique application reference numbers
- FR-4.6: System shall support both synchronous and asynchronous service integrations
- FR-4.7: System shall retry failed API calls with exponential backoff
- FR-5.1: System shall provide real-time status updates for submitted applications
- FR-5.2: System shall send push notifications for status changes
- FR-5.3: System shall support voice-based status inquiry
- FR-5.4: System shall maintain complete audit trail of application lifecycle
- FR-5.5: System shall allow users to view application history
- FR-5.6: System shall provide estimated completion timelines
- FR-5.7: System shall send reminders for pending actions or document submissions
- FR-6.1: System shall support mobile number-based registration
- FR-6.2: System shall implement OTP-based authentication
- FR-6.3: System shall support biometric authentication (fingerprint, face)
- FR-6.4: System shall maintain user profiles with basic information
- FR-6.5: System shall allow users to link Aadhaar for identity verification
- FR-6.6: System shall support family account linking
- FR-6.7: System shall implement role-based access control
- FR-7.1: Dashboard shall display real-time application statistics
- FR-7.2: Dashboard shall provide user analytics (registrations, active users, retention)
- FR-7.3: Dashboard shall show service-wise request distribution
- FR-7.4: Dashboard shall display system health metrics
- FR-7.5: Dashboard shall support filtering and date range selection
- FR-7.6: Dashboard shall allow manual intervention for flagged applications
- FR-7.7: Dashboard shall generate exportable reports in CSV/PDF format
- FR-7.8: Dashboard shall provide language-wise usage analytics
- FR-7.9: Dashboard shall display error logs and system alerts
- FR-8.1: System shall cache frequently accessed data for offline use
- FR-8.2: System shall queue requests when offline and sync when online
- FR-8.3: System shall indicate offline mode to users clearly
- FR-8.4: System shall store draft applications locally
- NFR-1.1: Voice-to-text conversion shall complete within 2 seconds
- NFR-1.2: Intent detection shall respond within 1 second
- NFR-1.3: Page load time shall not exceed 3 seconds on 3G networks
- NFR-1.4: OCR processing shall complete within 5 seconds per document
- NFR-1.5: API response time shall be under 500ms for 95% of requests
- NFR-1.6: System shall support 10,000 concurrent users
- NFR-1.7: Database queries shall execute within 100ms
- NFR-2.1: All data transmission shall use TLS 1.3 encryption
- NFR-2.2: Sensitive data shall be encrypted at rest using AES-256
- NFR-2.3: System shall implement rate limiting to prevent abuse
- NFR-2.4: System shall comply with IT Act 2000 and data protection regulations
- NFR-2.5: User sessions shall timeout after 15 minutes of inactivity
- NFR-2.6: System shall implement CAPTCHA for suspicious activities
- NFR-2.7: System shall mask PII in logs and monitoring tools
- NFR-2.8: System shall perform regular security audits and penetration testing
- NFR-2.9: System shall implement multi-factor authentication for admin access
- NFR-3.1: System architecture shall support horizontal scaling
- NFR-3.2: System shall handle 100,000 daily active users
- NFR-3.3: Database shall support 1 million user records
- NFR-3.4: Storage shall accommodate 10TB of document data
- NFR-3.5: System shall auto-scale based on traffic patterns
- NFR-4.1: System shall maintain 99.5% uptime
- NFR-4.2: System shall implement automated failover mechanisms
- NFR-4.3: Scheduled maintenance windows shall not exceed 4 hours per month
- NFR-4.4: System shall recover from failures within 5 minutes
- NFR-4.5: Critical services shall have redundancy across availability zones
- NFR-5.1: Interface shall be operable with minimal training
- NFR-5.2: Voice commands shall use natural conversational language
- NFR-5.3: System shall provide visual and audio feedback for all actions
- NFR-5.4: Error messages shall be clear and actionable in user's language
- NFR-5.5: System shall support accessibility standards (WCAG 2.1 Level AA)
- NFR-5.6: Font sizes shall be readable on devices with 4.5" screens
- NFR-5.7: System shall work on devices with Android 8.0+ and iOS 12+
- NFR-6.1: Code shall follow industry-standard coding conventions
- NFR-6.2: System shall have comprehensive API documentation
- NFR-6.3: System shall implement structured logging
- NFR-6.4: System shall support feature flags for gradual rollouts
- NFR-6.5: System shall have automated deployment pipelines
- NFR-7.1: System shall comply with Digital India guidelines
- NFR-7.2: System shall follow UIDAI guidelines for Aadhaar integration
- NFR-7.3: System shall maintain audit logs for 7 years
- NFR-7.4: System shall implement data retention policies
- C-1: Platform must be accessible via web browsers (no native app requirement initially)
- C-2: Voice recognition limited to languages supported by Web Speech API
- C-3: OCR accuracy dependent on document image quality
- C-4: Integration dependent on availability of government service APIs
- C-5: AWS infrastructure required for deployment
- C-6: Initial launch limited to 3 states and 5 regional languages
- C-7: Budget constraints limit AI model customization
- C-8: Government API access requires formal partnerships and approvals
- C-9: Data residency requirements mandate India-based data centers
- C-10: Users must have smartphones with internet connectivity
- C-11: Users must have valid mobile numbers for registration
- C-12: Minimum Android 8.0 or iOS 12 required
- A-1: Users have basic smartphone operation knowledge
- A-2: Government service APIs are available and documented
- A-3: Internet connectivity is available, though may be intermittent
- A-4: Users consent to data collection and processing
- A-5: Amazon Bedrock supports required Indian languages
- A-6: Government agencies will provide test environments for integration
- A-7: Users have access to required identity documents
- A-8: Mobile network coverage is available in target areas
- E-1: Native mobile applications for Android and iOS
- E-2: Support for 15+ Indian languages and dialects
- E-3: Video KYC integration for identity verification
- E-4: Chatbot for text-based interactions
- E-5: Integration with India Stack (DigiLocker, eSign)
- E-6: Multilingual document translation
- E-7: AI-powered service recommendations based on user profile
- E-8: Community forums for peer support
- E-9: Grievance redressal system
- E-10: Payment gateway integration for fee-based services
- E-11: Blockchain-based document verification
- E-12: Voice biometric authentication
- E-13: Predictive analytics for service demand forecasting
- E-14: Integration with Common Service Centers (CSCs)
- E-15: Offline voice recognition using on-device models
- E-16: AR-based document scanning guidance
- E-17: Integration with UMANG (Unified Mobile Application for New-age Governance)
- E-18: Multi-modal input (voice + text + gesture)
Document Control
| Version | Date | Author | Changes |
|---|---|---|---|
| 1.0 | Feb 15, 2026 | Team- CodeX4 | Initial requirements specification |
Approval
| Role | Name | Signature | Date |
|---|---|---|---|
| Product Owner | |||
| Technical Lead | |||
| Stakeholder |