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Description
What would you like to Propose?
Implement a modular Java-based personal AI assistant inspired by Jarvis, focusing on ethical, secure, and legally compliant design. The system should:
- Provide user consent dialogs for voice recording, device control, and work server access on first use
- Allow users to delete stored memory/routines and view an audit log of all actions
- Implement multi-layer authentication (PIN/password, voice, facial, retina/iris recognition, optional MFA), role-based access, auto-logoff, and AES-256 (Fernet) encryption for memory/backup
- Support customizable AI voice (male/female/custom), allow voice/name changes, and use the selected voice for TTS
- Enable voice recognition for input and TTS for responses, with AI fallback for natural conversation and context-aware memory
- Integrate with smart home APIs, phone apps (Android/iOS intents), and work servers (secure REST or database), only operating with explicit permission/ownership
- Store routines, conversation history, and learned habits in encrypted memory, supporting secure backup/restore and GDPR/POPIA/CCPA compliance
- Parse commands for various operations, require confirmation for sensitive commands, and log all actions
- Be structured for modular expansion (car integration, predictive routines, multi-user support)
Provide clear example classes or methods (with comments) for authentication, voice/TTS, integrations, encrypted memory, and AI conversation.
Issue details
The assistant should be composed of modular components:
- ConsentManager: Handles user consent dialogs and privacy controls
- SecurityManager: Manages multi-layer authentication, user roles, auto-logoff, and encryption
- VoiceManager: Provides voice recognition and TTS with customizable voices
- IntegrationManager: Placeholders for smart home, phone, and work server APIs (mock or interface-based)
- MemoryManager: Encrypted persistent storage and backup/restore logic
- CommandParser: Maps user input to actions, handles confirmations, logs operations
- AIConversation: Integrates an LLM/GPT for fallback natural language conversation (while stripping personal identifiers)
The app must:
- Store all data locally with the option for secure cloud/secondary backup
- Enforce privacy and legal compliance (GDPR, CCPA, POPIA): let users view/correct/delete their data and see retention policy
- Only operate devices/servers explicitly owned by or permitted to the user
- Be ready for future expansion (multi-user, car, predictive routines, etc.)
All features should be documented and commented for maintainability and extensibility.
Additional Information
This proposal is for a secure MVP/prototype; detailed smart home/phone/server integrations can be mocked or implemented as interface stubs. Example/test commands should be included to exercise every module. Java-specific best practices should be followed for thread-safety, security, and modularity.
mandar999xxx