Custom Multilingual AI Desktop Assistant
Budget: $250 – $750 AUD
Project Brief: Multilingual AI Sarah Desktop Assistant
Overview:
The goal is to build a personalized multilingual AI agent named "Sarah," designed to operate directly on my MacBook Pro as a desktop application. Sarah will serve as an interactive assistant capable of multilingual voice-based communication, AI-generated conversation, personalized interactions with emotion recognition, and practical task execution.
Functional Requirements:
Interactive Desktop Application:
- Develop a standalone desktop application compatible with macOS.
- Utilize Electron.js for frontend and Node.js backend.
- The assistant must always be readily accessible via voice activation.
AI Integration:
Leverage existing subscriptions and APIs:
- OpenAI (GPT-4) for multilingual natural language processing and intelligent responses.
- ElevenLabs for realistic multilingual speech synthesis (voice output).
- VAPI for generating and animating a realistic virtual avatar.
- Deepgram for multilingual real-time speech recognition (voice input).
Avatar and Voice Interaction:
- Sarah will feature an animated female avatar created via VAPI.
- Multilingual voice output through ElevenLabs with clear, expressive, and emotion-responsive speech.
- Real-time multilingual interaction, allowing me to speak directly to Sarah, with no typing required.
Emotion Recognition and Response:
- Implement multilingual voice-tone analysis to detect and gauge my emotional state.
- Sarah should adapt multilingual responses accordingly, displaying emotional states such as:
- Neutral
- Happy
- Concerned
- Supportive
- Cheerful
- Multistage emotion recognition to understand subtle changes and respond naturally across multiple languages.
Context Awareness and Personality:
- Sarah should have distinct, multilingual, context-aware humor and a customizable personality.
- Allow user commands to adjust Sarah’s personality traits dynamically (e.g., casual, professional, humorous, empathetic).
- Remember and maintain personality trait selection until explicitly changed.
Task Execution and System Integration:
- Sarah must be able to see and interact with my computer screen.
- Ability to open, close, and interact with applications upon voice commands.
- Integration with system-level commands for seamless multilingual workflow.
Content Creation and Management:
- Write and manage blogs for my website, particularly focused on electrical business topics.
- Analyze and optimize my Meta (Facebook) ads, suggest improvements, and assist in creating better-performing advertisements.
Knowledge Base and Training:
- Integrate with Google Drive and specific shared websites for multilingual knowledge-base expansion and continuous learning.
- Allow the training and updating of Sarah’s multilingual knowledge from PDFs, web pages, and documents located in a designated Google Drive folder.
- Sarah should intelligently reference and learn from updated multilingual materials provided regularly.
Technical Requirements:
- Electron.js and Node.js backend.
- Secure storage of API keys and configurations via .env.
- Real-time updates and auto-reloading capabilities (using Nodemon).
- Robust error handling, ensuring clear multilingual communication to me if any API service experiences interruptions or authentication issues.
Available Resources and Subscriptions:
- OpenAI (API access, GPT-4)
- ElevenLabs (API access, premium multilingual voices)
- VAPI (Avatar animation API)
- Deepgram (Multilingual real-time speech recognition)
Deliverables:
- Fully operational multilingual Electron-based desktop application for macOS.
- Complete integration of multilingual APIs: OpenAI, ElevenLabs, VAPI, Deepgram.
- Real-time avatar animation with expressive and emotion-sensitive multilingual interactions.
- Voice-driven multilingual operation with no keyboard interaction required.
- Initial multilingual setup for training and ongoing learning via Google Drive folder and website integration.
Next Steps for Developer:
- Review all provided multilingual API documentation (OpenAI, ElevenLabs, VAPI, Deepgram).
- Set up initial backend and frontend architecture in Electron.js and Node.js.
- Implement and test multilingual API integrations.
- Develop multilingual voice-based interaction functionality.
- Integrate avatar animation with VAPI and emotional response mechanisms.
- Set up multilingual knowledge-base training and content integration from Google Drive.
Deadline:
Provide an estimated project timeline and milestones based on this brief.
Overview:
The goal is to build a personalized multilingual AI agent named "Sarah," designed to operate directly on my MacBook Pro as a desktop application. Sarah will serve as an interactive assistant capable of multilingual voice-based communication, AI-generated conversation, personalized interactions with emotion recognition, and practical task execution.
Functional Requirements:
Interactive Desktop Application:
- Develop a standalone desktop application compatible with macOS.
- Utilize Electron.js for frontend and Node.js backend.
- The assistant must always be readily accessible via voice activation.
AI Integration:
Leverage existing subscriptions and APIs:
- OpenAI (GPT-4) for multilingual natural language processing and intelligent responses.
- ElevenLabs for realistic multilingual speech synthesis (voice output).
- VAPI for generating and animating a realistic virtual avatar.
- Deepgram for multilingual real-time speech recognition (voice input).
Avatar and Voice Interaction:
- Sarah will feature an animated female avatar created via VAPI.
- Multilingual voice output through ElevenLabs with clear, expressive, and emotion-responsive speech.
- Real-time multilingual interaction, allowing me to speak directly to Sarah, with no typing required.
Emotion Recognition and Response:
- Implement multilingual voice-tone analysis to detect and gauge my emotional state.
- Sarah should adapt multilingual responses accordingly, displaying emotional states such as:
- Neutral
- Happy
- Concerned
- Supportive
- Cheerful
- Multistage emotion recognition to understand subtle changes and respond naturally across multiple languages.
Context Awareness and Personality:
- Sarah should have distinct, multilingual, context-aware humor and a customizable personality.
- Allow user commands to adjust Sarah’s personality traits dynamically (e.g., casual, professional, humorous, empathetic).
- Remember and maintain personality trait selection until explicitly changed.
Task Execution and System Integration:
- Sarah must be able to see and interact with my computer screen.
- Ability to open, close, and interact with applications upon voice commands.
- Integration with system-level commands for seamless multilingual workflow.
Content Creation and Management:
- Write and manage blogs for my website, particularly focused on electrical business topics.
- Analyze and optimize my Meta (Facebook) ads, suggest improvements, and assist in creating better-performing advertisements.
Knowledge Base and Training:
- Integrate with Google Drive and specific shared websites for multilingual knowledge-base expansion and continuous learning.
- Allow the training and updating of Sarah’s multilingual knowledge from PDFs, web pages, and documents located in a designated Google Drive folder.
- Sarah should intelligently reference and learn from updated multilingual materials provided regularly.
Technical Requirements:
- Electron.js and Node.js backend.
- Secure storage of API keys and configurations via .env.
- Real-time updates and auto-reloading capabilities (using Nodemon).
- Robust error handling, ensuring clear multilingual communication to me if any API service experiences interruptions or authentication issues.
Available Resources and Subscriptions:
- OpenAI (API access, GPT-4)
- ElevenLabs (API access, premium multilingual voices)
- VAPI (Avatar animation API)
- Deepgram (Multilingual real-time speech recognition)
Deliverables:
- Fully operational multilingual Electron-based desktop application for macOS.
- Complete integration of multilingual APIs: OpenAI, ElevenLabs, VAPI, Deepgram.
- Real-time avatar animation with expressive and emotion-sensitive multilingual interactions.
- Voice-driven multilingual operation with no keyboard interaction required.
- Initial multilingual setup for training and ongoing learning via Google Drive folder and website integration.
Next Steps for Developer:
- Review all provided multilingual API documentation (OpenAI, ElevenLabs, VAPI, Deepgram).
- Set up initial backend and frontend architecture in Electron.js and Node.js.
- Implement and test multilingual API integrations.
- Develop multilingual voice-based interaction functionality.
- Integrate avatar animation with VAPI and emotional response mechanisms.
- Set up multilingual knowledge-base training and content integration from Google Drive.
Deadline:
Provide an estimated project timeline and milestones based on this brief.