JARVIS Assistant (Persona AI)

JARVIS Assistant is a next-generation, voice-activated Personal AI companion built with Flutter. Designed with a "Sci-Fi First" philosophy, it combines state-of-the-art Large Language Models (LLMs) with a premium, immersive user interface featuring holographic aesthetics, reactive animations, and proactive intelligence.

Unlike standard chatbots, JARVIS possesses Long-Term Memory, Real-Time Web Access, and a Proactive Sentinel Mode that watches out for you even when the app is in the background.

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🌌 Futuristic UI/UX

The interface is designed to feel like a piece of advanced technology from the future.

• The JARVIS Orb: A central, living core that reacts to voice amplitude, pulses when thinking, and transforms based on the AI's state (Idle, Listening, Processing, Speaking).
• Holographic Aesthetics: Extensive use of Glassmorphism, neon gradients, and a dynamic Particle Field background that drifts endlessly.
• Neural HUD: A "Heads-Up Display" header showing real-time system status, inclusive of a "Neural Link" indicator and active Memory Node count.
• Immersive Feedback: Haptic feedback on interactions and distinct sound effects for activation, processing, and responses.

🧠 Advanced Intelligence (The Brain)

At the core is the JarvisBrainService, powered by Groq (Llama 3.3 70B), enabling lightning-fast inference and complex reasoning.

• Agentic Workflow: JARVIS doesn't just guess; he thinks. The UI visualizes his thought process phases: Thinking → Searching Web → Accessing Memory → Synthesizing.
• Memory Auditor: An autonomous sub-agent that verifies new information against existing long-term memory to prevent conflicts, deciding whether to Update, Correct, or Add data.
• Tool Use:
  • web_search: Fetches real-time data (Weather, News, Stock Prices).
  • save_memory / search_memory: Interacts with the Supabase Vault to recall personal facts, preferences, and past conversations.

🛡️ Proactive Sentinel System

JARVIS isn't just reactive; he is Proactive.

• Background "Nudges": Utilizing workmanager and flutter_local_notifications, JARVIS performs background checks on your schedule, weather, and environment.
• Contextual Awareness: "Sir, you have an outdoor meeting at 3 PM, but rain is forecast. I suggest taking an umbrella."
• Manual Diagnostics: Trigger a "Sentinel Check" manually to have JARVIS analyze your current situation immediately.

🗣️ Vocal Interface

• Multilingual Support: Fluent in English, French, German, Spanish, and Hindi.
• Real-Time Transcription: sophisticated speech_to_text integration for seamless dictation.
• Natural Voice: High-quality Text-to-Speech (TTS) response system.

📜 System Protocols

JARVIS operates under a strict set of behavioral protocols to ensure stability and personality:

• Sentinel Protocol: Background conflict detection (Weather vs. Schedule).

• Auditor Protocol: Pre-save memory verification to prevent data contradictions.

• Planning Protocol: Automatic decomposition of complex goals into multi-phase action plans.

• Vocal Protocol: Natural language filtering to ensure the TTS sounds like a refined butler, not a machine.

🔒 Privacy & Security

• Local Context: Initial reasoning is processed via Groq's high-speed inference.
• Encrypted Vault: All personal memories are stored in a private Supabase instance with Row Level Security (RLS) enabled.
• Minimal Footprint: No audio data is stored; STT is processed in real-time and discarded.

🛠️ Tech Stack

Component	Technology
Framework	Flutter (Dart)
AI Backend	Groq API (Llama 3.3 70B)
Database	Supabase (PostgreSQL)
State Management	Native setState & Streams
Animations	flutter_animate & Custom Painters
Voice	speech_to_text & flutter_tts
Background Tasks	workmanager
Notifications	flutter_local_notifications

🚀 Getting Started

Prerequisites

1. Flutter SDK installed (v3.10+ recommended).
2. Supabase Project set up with a chat_messages and jarvis_memory table.
3. Groq API Key for LLM inference.

Installation

1. Clone the Repository

   git clone https://github.com/your-username/jarvis-assistant.git
   cd jarvis-assistant

2. Configure Environment Create a .env file in the root directory:

   GROQ_API_KEY=your_groq_api_key_here
   SUPABASE_URL=your_supabase_url_here
   SUPABASE_ANON_KEY=your_supabase_anon_key_here

3. Install Dependencies

   flutter pub get

4. Run the App

   flutter run

📂 Project Structure

lib/
├── core/            # Configuration and Constants
├── models/          # Data Models (ChatMessage, etc.)
├── screens/         # UI Screens
│   ├── jarvis_home_screen.dart       # Main HUD Interface
│   ├── jarvis_initialization_screen.dart # Boot-up Sequence
│   └── ...
├── services/        # Logic & API Layers
│   ├── jarvis_brain_service.dart     # AI Core, Groq Integration, & Tools
│   ├── memory_service.dart           # Supabase DB Interactions
│   └── vocal_service.dart            # TTS & STT Handling
└── widgets/         # Reusable UI Components
    └── jarvis_orb.dart               # The animated AI Core

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Built with ❤️ for the Future.