Friday 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, Friday 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.

• The Friday Orb: A central, living core that reacts to voice amplitude, pulses when thinking, and transforms based on AI state (Idle, Listening, Processing, Speaking)
• Holographic Aesthetics: Glassmorphism effects, neon gradients, and dynamic Particle Field backgrounds
• Neural HUD: Real-time system status display with Neural Link indicator and active Memory Node count
• Immersive Feedback: Haptic feedback and distinct sound effects for all interactions

• FridayBrainService: Powered by Groq (Llama 3.3 70B) for lightning-fast inference and complex reasoning
• Agentic Workflow: Visualized thought process phases: Thinking → Searching Web → Accessing Memory → Synthesizing
• Memory Auditor: Autonomous sub-agent that verifies information against existing memory to prevent conflicts
• Tool Integration:
  • web_search: Real-time data fetching (Weather, News, Stock Prices)
  • save_memory/search_memory: Supabase Vault integration for personal facts and preferences

• Background Nudges: Scheduled background checks on schedule, weather, and environment
• Contextual Awareness: Intelligent notifications (e.g., "Outdoor meeting at 3 PM with forecasted rain - take an umbrella")
• Manual Diagnostics: Trigger instant Sentinel Check for immediate analysis

• Multilingual Support: English, French, German, Spanish, and Hindi
• Real-Time Transcription: Seamless speech-to-text dictation
• Natural Voice: High-quality Text-to-Speech response system

• Sentinel Protocol: Background conflict detection
• Auditor Protocol: Pre-save memory verification
• Planning Protocol: Automatic goal decomposition into multi-phase action plans
• Vocal Protocol: Natural language filtering for refined TTS output

• Local Processing: Initial reasoning via Groq's high-speed inference
• Encrypted Vault: Personal memories in private Supabase instance with Row Level Security (RLS)
• Minimal Footprint: No audio data storage; STT processed and discarded in real-time

• Flutter SDK v3.10+ installed
• Supabase Project with chat_messages and Friday_memory tables
• Groq API Key for LLM inference

1. Clone the Repository

   git clone https://github.com/dj2313/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

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

Built with ❤️ for the Future.