scenic-build

bySangeeta Goyal

Build a fully functional SaaS web application called "Nutreador AI" — an automated, AI-powered nutrition tracker and meal planning platform for health-conscious users, students, and fitness enthusiasts. ## CORE FEATURES ### 1. User Authentication & Profiles - Email/password signup + Google OAuth login - User profiles with: name, age, gender, height, weight, activity level, health goals (weight loss, muscle gain, maintenance) - Dietary preferences: vegetarian, vegan, keto, paleo, gluten-free, dairy-free - Allergies/restrictions input (nuts, shellfish, eggs, etc.) - Multi-tenant architecture: each user has isolated data ### 2. AI-Powered Meal Planning Engine - Calculate daily calorie needs using Mifflin-St Jeor equation based on user inputs - Generate personalized 7-day meal plans (breakfast, lunch, dinner, snacks) - Each meal includes: - AI-generated recipe name and description - Full ingredient list with quantities - Step-by-step cooking instructions - Nutritional breakdown (calories, protein, carbs, fats, fiber) - Allow users to regenerate meals they don't like with one click - Support for custom meal requests via natural language (e.g., "I want something high-protein for breakfast under 400 calories") ### 3. Smart Food Photo Analysis - Users can upload photos of their meals - AI analyzes image to identify food items and estimate portion sizes - Auto-calculate calories and macros from photos - Allow manual corrections to improve accuracy over time - Display confidence scores for AI predictions ### 4. Nutrition Dashboard & Tracking - Daily/weekly nutrition summary dashboard - Visual charts showing: - Calories consumed vs. target - Macro distribution (pie chart) - Micronutrient tracking (vitamins, minerals) - Progress toward goals over time - Food logging with quick-add, barcode scan, and search from food database - Integration with USDA/Open Food Facts API for accurate nutrition data - Water intake tracker - Weight tracking with progress graphs ### 5. Smart Grocery Lists - Auto-generate shopping lists from weekly meal plans - Organize by category (produce, dairy, proteins, grains) - Allow manual additions/removals - Export to PDF or send to Instacart/Amazon Fresh (future integration) ### 6. Recipe Library & Customization - Save favorite AI-generated recipes to personal library - Search and filter recipes by: calories, protein, diet type, meal type - AI recipe customization: "Make this recipe lower carb" or "Add more protein" - Community recipe sharing (optional feature for premium tier) ### 7. Insights & Recommendations - AI-powered weekly nutrition reports - Personalized tips based on eating patterns (e.g., "You're low on iron, try adding spinach") - Mood/energy correlation tracking (optional: users log how they feel after meals) - Suggest meal timing adjustments for better energy levels ## SAAS BUSINESS MODEL ### Subscription Tiers - **Free Tier**: - 3 meal plans per month - Basic food logging (50 entries/month) - 5 photo analyses per month - Standard recipes - **Premium Tier ($9.99/month or $79.99/year)**: - Unlimited meal plans - Unlimited food logging - Unlimited photo analyses - Advanced AI customization - Priority recipe generation - Detailed micronutrient tracking - Export meal plans to PDF - Early access to new features - **Pro Tier ($19.99/month)**: - Everything in Premium - Multi-goal tracking (e.g., train for marathon + lose weight) - Integration with fitness trackers (Apple Health, Fitbit, Garmin) - Personalized supplement recommendations - Access to nutritionist chatbot - Custom meal plans for family members (up to 5 profiles) ### Payment Integration - Stripe integration for subscription billing - Support for monthly and annual plans - Free trial: 14 days of Premium features - Automatic renewal with email reminders - Cancellation flow with retention offers ## TECHNICAL ARCHITECTURE ### Frontend - Next.js 14 with App Router - Tailwind CSS for styling (mobile-first, responsive design) - Framer Motion for smooth animations - React Hook Form for form handling - Zustand or Context API for state management ### Backend - FastAPI (Python) or Next.js API Routes - PostgreSQL database with Prisma ORM - Multi-tenant schema: each user's data is isolated - Redis for caching and session management - JWT-based authentication ### AI Integration - OpenAI GPT-4o or Gemini API for meal planning and recipe generation - Vision model for food photo analysis (GPT-4 Vision or Claude Vision) - Fine-tune prompts for nutrition-specific tasks - Implement fallback logic if AI fails ### Database Schema - Users table (id, email, password_hash, profile data, subscription_tier, stripe_customer_id) - MealPlans table (id, user_id, plan_name, start_date, end_date, total_calories) - Meals table (id, meal_plan_id, meal_type, recipe_name, ingredients, instructions, nutrition_data) - FoodLogs table (id, user_id, food_name, calories, macros, timestamp, source) - Photos table (id, user_id, image_url, ai_analysis, confidence_score, corrected_data) - Recipes table (id, user_id, recipe_name, ingredients, instructions, nutrition, is_favorite) - Subscriptions table (id, user_id, stripe_subscription_id, status, current_period_end) ### Security & Compliance - HTTPS everywhere - Password hashing with bcrypt - Rate limiting on API endpoints - GDPR-compliant data handling - End-to-end encryption for sensitive data - Regular security audits - Clear privacy policy and terms of service ### DevOps & Deployment - Vercel for frontend hosting - Railway or Supabase for backend + database - GitHub Actions for CI/CD - Environment variables for API keys - Monitoring with Sentry or LogRocket - Automated backups of database ## UI/UX DESIGN ### Landing Page - Hero section with value proposition: "Your AI Nutritionist in Your Pocket" - Feature highlights with icons - How it works (3-step process) - Pricing table (Free, Premium, Pro) - Testimonials (placeholder for now) - FAQ section - CTA buttons: "Start Free Trial" and "Learn More" ### Dashboard - Clean, minimalist design with card-based layout - Sidebar navigation: Dashboard, Meal Plans, Food Log, Photos, Recipes, Settings - Top bar with user profile, notifications, subscription status - Quick stats cards: Today's calories, macros, water, weight trend - Interactive charts with Chart.js or Recharts - Dark mode toggle ### Mobile Responsiveness - Fully responsive design (mobile-first approach) - Bottom navigation for mobile users - Touch-friendly buttons and forms - Optimized image loading for slower connections ## MONETIZATION & GROWTH ### Revenue Streams - Subscription fees (primary) - Affiliate partnerships with healthy food brands - Sponsored recipes from food companies - White-label version for gyms/corporate wellness programs ### Growth Features - Referral program: "Invite 3 friends, get 1 month free" - Social sharing: "Share your meal plan" with branded images - Blog with SEO-optimized nutrition content - Email newsletter with weekly tips and meal ideas - Integration partnerships with fitness apps ### Analytics - Track user engagement: daily active users, meal plan generation rate, photo uploads - Conversion funnel: signup → free trial → paid subscription - Churn rate monitoring - A/B testing for pricing and features - Heatmaps for UX optimization (Hotjar or similar) ## DELIVERABLES Generate the complete codebase including: 1. Full Next.js frontend with all pages and components 2. Backend API with authentication and database integration 3. Stripe payment integration 4. AI meal planning and photo analysis implementation 5. Responsive, production-ready UI 6. Database schema and migrations 7. Environment variable setup instructions 8. Deployment guide for Vercel + Railway 9. README with setup, development, and scaling instructions Make the app production-ready, scalable, and visually polished with a modern, clean aesthetic. Prioritize user experience and performance.

LandingLoginMealPlanRecipesPhotosSignup
Landing

Comments (0)

No comments yet. Be the first!

System Requirements

System Requirement Document
Page 1 of 5

System Requirements Document for scenic-build

Introduction

This document outlines the system requirements for the "Nutreador AI" project, an automated, AI-powered nutrition tracker and meal planning platform designed for health-conscious users, students, and fitness enthusiasts.

System Overview

Nutreador AI is a SaaS web application that provides personalized meal planning and nutrition tracking using AI technology. It caters to users with diverse dietary preferences and health goals, offering features like smart food photo analysis, nutrition dashboards, and AI-generated meal plans.

Page 2 of 5

Functional Requirements as Story Points

  • As a User, I should be able to sign up using email/password or Google OAuth.
  • As a User, I should be able to create and manage my profile with personal and dietary information.
  • As a User, I should be able to input dietary preferences and allergies.
  • As a User, I should be able to receive personalized meal plans based on my profile.
  • As a User, I should be able to regenerate meal plans I don't like with one click.
  • As a User, I should be able to request custom meals using natural language.
  • As a User, I should be able to upload photos of my meals for AI analysis.
  • As a User, I should be able to manually correct AI predictions for meal photos.
  • As a User, I should be able to view my nutrition dashboard with various charts and summaries.
  • As a User, I should be able to log food entries using quick-add, barcode scan, or search.
  • As a User, I should be able to track my water intake and weight.
  • As a User, I should be able to generate and customize grocery lists from meal plans.
  • As a User, I should be able to save and customize AI-generated recipes.
  • As a User, I should be able to share recipes with the community.
  • As a User, I should be able to receive insights and recommendations based on my eating patterns.
  • As a User, I should be able to subscribe to different tiers and manage my subscription.
  • As a User, I should be able to access premium features based on my subscription tier.

User Personas

  • Health-Conscious User: Focused on maintaining a balanced diet and tracking nutritional intake.
  • Student: Requires quick and affordable meal solutions that fit a busy schedule.
  • Fitness Enthusiast: Aims to optimize diet for muscle gain or weight loss.
  • Admin: Manages user data and oversees platform operations.
Page 3 of 5

Core User Flows

  • User signs up -> Completes profile -> Receives meal plan -> Logs meals and activities -> Views nutrition dashboard
  • User uploads meal photo -> AI analyzes photo -> User corrects AI prediction -> Nutrition data updated
  • User generates grocery list -> Customizes list -> Exports or sends list to shopping service

Visuals Colors and Theme

  • primary: #4CAF50 (green)
  • primary_light: #81C784 (light green)
  • secondary: #FF9800 (orange)
  • accent: #FF5722 (deep orange)
  • highlight: #FFC107 (amber)
  • bg: #F5F5F5 (light grey)
  • surface: #FFFFFF (white)
  • text: #212121 (dark grey)
  • text_muted: #757575 (grey)
  • border: #E0E0E0 (light grey)

Signature Design Concept

Page 4 of 5

Interactive Nutrition Journey

The landing page will feature an interactive journey map that visually represents a user's path to achieving their health goals. Users can click on different stages of the journey (e.g., meal planning, tracking, insights) to see detailed animations and information pop-ups. The map will dynamically update based on user interactions, providing a personalized experience. This concept will be implemented using motion/react for smooth animations and transitions.

LANDING HERO MOTION BRIEF

The hero section will depict a vibrant, animated scene where a user's dietary inputs (e.g., food items, health goals) transform into a dynamic meal plan. The animation will show ingredients gathering around a central plate, which then morphs into a complete meal. This loop will last 10 seconds, illustrating the transformation from input to outcome. The animation will be built using CSS and motion/react, ensuring accessibility and responsiveness.

Interaction Model & Motion Direction

  • Interaction Model: Animated
  • The landing page will feature moderate scroll-triggered reveals and hover transitions.
  • Internal pages will maintain a static layout with minimal motion for clarity.

Non-Functional Requirements

  • The application must be highly responsive and load within 2 seconds.
  • Ensure 99.9% uptime for the SaaS platform.
  • The system must handle concurrent users efficiently, supporting up to 10,000 active users.
Page 5 of 5

Tech Stack

  • Frontend: Next.js 14, Tailwind CSS, Framer Motion, React Hook Form, Zustand/Context API
  • Backend: FastAPI (Python) or Next.js API Routes, PostgreSQL with Prisma ORM, Redis
  • AI Integration: OpenAI GPT-4o or Gemini API, GPT-4 Vision or Claude Vision
  • DevOps: Vercel, Railway/Supabase, GitHub Actions, Sentry/LogRocket

Assumptions and Constraints

  • The application will primarily target users in India, considering local dietary preferences.
  • GDPR compliance is mandatory for handling user data.
  • The platform will initially support English language only.

Glossary

  • AI: Artificial Intelligence
  • OAuth: Open Authorization
  • GDPR: General Data Protection Regulation
  • SaaS: Software as a Service
  • API: Application Programming Interface

This document serves as a comprehensive guide for the development and deployment of the Nutreador AI platform, ensuring all user requirements and technical specifications are met.

Landing design preview
Login: Sign In
Admin: View Dashboard
Admin: Manage Users
Admin: Edit User Data
Admin: View Subscriptions
Admin: Manage Billing
Admin: Monitor Analytics
Admin: View Engagement Reports
Admin: Review Recipes
Admin: Moderate Community Content
Admin: Configure Platform Settings
Landing design preview
Login: Sign In
Admin: View Dashboard
Admin: Manage Users
Admin: Edit User Data
Admin: View Subscriptions
Admin: Manage Billing
Admin: Monitor Analytics
Admin: View Engagement Reports
Admin: Review Recipes
Admin: Moderate Community Content
Admin: Configure Platform Settings