Jarvis AI assistant - v0 by Vercel

Tech StackPlatform: Android (target SDK 34, min SDK 24)Language: KotlinFramework: Jetpack Compose (UI), AndroidX lifecycleVoice Input: Android SpeechRecognizer APIVoice Output: ElevenLabs API (realistic AI voice for Jarvis)AI Core: OpenAI API (for reasoning, text generation, multi-language support)Search Engine: Custom Search API (not Google CSE, always search via API)UI Layer: Compose + Lottie animations (for holographic Jarvis face)---2. Environment (API Keys & Secrets)All secrets stored in local.properties:OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxSEARCH_API_KEY=xxxxxxxxxxxxxxxxELEVENLABS_API_KEY=xxxxxxxxxxxxxxxxExposed via BuildConfig in Gradle.Never hardcoded in code.---3. File Structureapp/ ├── data/ │ ├── api/ │ │ ├── OpenAIService.kt │ │ ├── SearchService.kt │ │ └── ElevenLabsService.kt │ ├── repository/ │ │ ├── AIRepository.kt │ │ └── VoiceRepository.kt │ ├── ui/ │ ├── components/ │ │ ├── HologramFace.kt │ │ ├── VoiceButton.kt │ │ └── ErrorSnackbar.kt │ ├── screens/ │ │ └── JarvisScreen.kt │ ├── voice/ │ ├── SpeechRecognizerManager.kt │ ├── TextToSpeechManager.kt │ ├── utils/ │ ├── CommandParser.kt │ ├── ErrorHandler.kt │ ├── MainActivity.kt └── App.kt---4. Core Features4.1 Wake Word DetectionKeyword spotting: "Jarvis"Implemented via lightweight wake word detector or SpeechRecognizer service running in background.When detected → starts listening for command.Also triggerable via Gemini/Google Assistant (“Open Jarvis / Close Jarvis”).4.2 Holographic Animated FaceLottie JSON animations or custom particle shader.Reacts to speaking, listening, and thinking states.Displayed as central visual element.4.3 Clean Speech OutputGPT output cleaned:No markdown, links, or code.Natural conversational text only.Output voiced via ElevenLabs AI voices (Jarvis-like tone).4.4 Real-Time Web Search (Always On API)Every user query →1. Send to Search API (mandatory, not conditional).2. Summarize results via GPT.3. Return spoken + displayed answer.4.5 Robust Error HandlingNetwork errors → “I lost connection, retrying.”Empty response → “I didn’t catch that, can you repeat?”Logs stored for debugging (not exposed to user).4.6 JARVIS PersonalityResponses styled in a formal yet witty assistant tone.Example: Instead of “I don’t know,” → “I’m afraid I don’t have that information yet, sir.”Personality layer applied post-processing on GPT response.---5. Extras (Future-Proofing)Multi-language support (all available languages)Plugin system (expand with home automation, system controls)Offline fallback for basic Q&A (optional later)Multi-modal (camera input, object recognition) in future versions---✅ Must-Have Features (from image)✔ Wake word detection with command extraction✔ Holographic animated face interface✔ Clean speech output (no URLs/markdown)✔ Real-time web search capability (always active)✔ Robust error handling & fallbacks✔ JARVIS personality in responses---🎯 ResultA fully functional JARVIS assistant with:Voice interactionAnimated holographic UIReal-time search & GPT reasoningElevenLabs-powered lifelike voicePersonality-driven responses

Tech StackPlatform: Android (target SDK 34, min SDK 24)Language: KotlinFramework: Jetpack Compose (UI), AndroidX lifecycleVoice Input: Android SpeechRecognizer APIVoice Output: ElevenLabs API (realistic AI voice for Jarvis)AI Core: OpenAI API (for reasoning, text generation, multi-language support)Search Engine: Custom Search API (not Google CSE, always search via API)UI Layer: Compose + Lottie animations (for holographic Jarvis face)---2. Environment (API Keys & Secrets)All secrets stored in local.properties:OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxSEARCH_API_KEY=xxxxxxxxxxxxxxxxELEVENLABS_API_KEY=xxxxxxxxxxxxxxxxExposed via BuildConfig in Gradle.Never hardcoded in code.---3. File Structureapp/ ├── data/ │ ├── api/ │ │ ├── OpenAIService.kt │ │ ├── SearchService.kt │ │ └── ElevenLabsService.kt │ ├── repository/ │ │ ├── AIRepository.kt │ │ └── VoiceRepository.kt │ ├── ui/ │ ├── components/ │ │ ├── HologramFace.kt │ │ ├── VoiceButton.kt │ │ └── ErrorSnackbar.kt │ ├── screens/ │ │ └── JarvisScreen.kt │ ├── voice/ │ ├── SpeechRecognizerManager.kt │ ├── TextToSpeechManager.kt │ ├── utils/ │ ├── CommandParser.kt │ ├── ErrorHandler.kt │ ├── MainActivity.kt └── App.kt---4. Core Features4.1 Wake Word DetectionKeyword spotting: "Jarvis"Implemented via lightweight wake word detector or SpeechRecognizer service running in background.When detected → starts listening for command.Also triggerable via Gemini/Google Assistant (“Open Jarvis / Close Jarvis”).4.2 Holographic Animated FaceLottie JSON animations or custom particle shader.Reacts to speaking, listening, and thinking states.Displayed as central visual element.4.3 Clean Speech OutputGPT output cleaned:No markdown, links, or code.Natural conversational text only.Output voiced via ElevenLabs AI voices (Jarvis-like tone).4.4 Real-Time Web Search (Always On API)Every user query →1. Send to Search API (mandatory, not conditional).2. Summarize results via GPT.3. Return spoken + displayed answer.4.5 Robust Error HandlingNetwork errors → “I lost connection, retrying.”Empty response → “I didn’t catch that, can you repeat?”Logs stored for debugging (not exposed to user).4.6 JARVIS PersonalityResponses styled in a formal yet witty assistant tone.Example: Instead of “I don’t know,” → “I’m afraid I don’t have that information yet, sir.”Personality layer applied post-processing on GPT response.---5. Extras (Future-Proofing)Multi-language support (all available languages)Plugin system (expand with home automation, system controls)Offline fallback for basic Q&A (optional later)Multi-modal (camera input, object recognition) in future versions---✅ Must-Have Features (from image)✔ Wake word detection with command extraction✔ Holographic animated face interface✔ Clean speech output (no URLs/markdown)✔ Real-time web search capability (always active)✔ Robust error handling & fallbacks✔ JARVIS personality in responses---🎯 ResultA fully functional JARVIS assistant with:Voice interactionAnimated holographic UIReal-time search & GPT reasoningElevenLabs-powered lifelike voicePersonality-driven responses