NutriSense 🥗

NutriSense is a high-performance, AI-powered smart nutrition assistant that provides real-time, context-aware meal tracking and personalized coaching. Leveraging Groq's ultra-fast Llama 3.1 models, it allows users to log meals using natural language or images, instantly calculating macros, offering healthier alternatives, and scoring choices based on personal fitness goals and dietary restrictions.

🌟 Key Features

• Ultra-Fast AI Analysis: Powered by Groq Cloud, meal analysis and coaching insights are delivered in milliseconds, providing a lag-free experience.
• Multi-Modal Food Logging: Describe what you ate using natural text or simply upload a photo. The AI automatically identifies the food, estimates portion sizes, and extracts full nutritional data.
• Dynamic Macro Tracking: Visualizes your daily calorie, protein, carbohydrate, and fat intake using interactive Recharts.
• Context-Aware Coaching: Analyzes your food choices not just in a vacuum, but in the context of the current time of day, your local weather, and your specific dietary profile.
• Health Scoring & Alerts: Gives every logged meal a 1-10 health score and alerts you if an ingredient violates your personal dietary profile or flags excessive sugar/sodium.
• Local Data Persistence: Operates entirely in your browser using local storage, ensuring your private health data remains on your device.
• Premium UI/UX: A sophisticated, glassmorphism-inspired interface with responsive design for mobile and desktop.

🛠️ Tech Stack

• Framework: Next.js 15 (App Router)
• Language: TypeScript
• Styling: Tailwind CSS & Shadcn UI
• Data Visualization: Recharts
• AI Integration: Vercel AI SDK
• Primary AI Provider: Groq Cloud
• Model Used: llama-3.1-8b-instant
• Icons: Lucide React

🚀 Getting Started

Prerequisites

Make sure you have Node.js (v18 or higher) installed on your machine.

Installation

1. Clone the repository (or download the source code)
2. Install dependencies:

   npm install

3. Configure Environment Variables: Create a .env.local file in the root directory and add your Groq API key:

   # Primary Provider: Groq Cloud
   GROQ_API_KEY=your_groq_api_key_here

4. Run the development server:

   npm run dev

5. Open the app: Navigate to http://localhost:3000 in your browser.

📱 Application Structure

• app/actions.ts: Contains the secure server actions that interface with the Vercel AI SDK and Groq models.
• components/nutrition-app.tsx: The main dashboard controller handling layout, global state, and responsive design.
• components/food-logger.tsx: The interface for text and image-based food logging.
• components/daily-insights.tsx: Renders the AI-generated summaries, charts, and behavioral suggestions.
• components/profile-setup.tsx: The onboarding and settings interface for user biometric data.
• lib/storage.ts: Utility functions for managing browser local storage persistence.