mega-food

byRenuka Patil

Stop planning mode. Start implementation immediately. Generate complete source code for EcoSphere AI Sustainability Platform. Create: - Next.js 15 + TypeScript frontend - TailwindCSS + ShadCN UI - FastAPI backend - PostgreSQL database - Prisma ORM - JWT Authentication - RBAC (Admin, Manager, Analyst, Staff) - AI Waste Prediction Engine - Carbon Footprint Calculator - ESG Reporting Dashboard - IoT Sensor Simulator - Real-Time WebSocket Monitoring - Digital Twin Facility View - Smart Recommendations Engine - Predictive Maintenance - Sustainability Score - Interactive Charts - PDF Report Export Create all files and folders. After code generation automatically: 1. Open editor 2. Build project 3. Start development server 4. Show live preview URL Do not ask questions. Generate the complete implementation now.

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System Requirements

System Requirement Document
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mega-food System Requirements Document

1. Introduction

The "mega-food" project aims to revolutionize the food industry by leveraging advanced technology to enhance efficiency, sustainability, and user experience. This document outlines the system requirements for the mega-food project, providing a comprehensive guide for its development and implementation.

2. System Overview

The mega-food project is designed to streamline food production, distribution, and consumption processes through a robust digital platform. It will incorporate cutting-edge technologies such as AI, IoT, and real-time monitoring to optimize operations and reduce waste. The platform will cater to various user personas, including administrators, managers, analysts, and general users, ensuring a seamless and efficient user experience.

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3. Functional Requirements

  • As an Admin, I should be able to manage user roles and permissions using RBAC.
  • As a Manager, I should be able to access the ESG Reporting Dashboard to monitor sustainability metrics.
  • As an Analyst, I should be able to utilize the AI Waste Prediction Engine to forecast waste levels.
  • As a Staff member, I should be able to view real-time data from IoT sensors.
  • As a User, I should be able to receive smart recommendations for food consumption.
  • As a User, I should be able to view the Digital Twin Facility for a virtual representation of operations.
  • As a User, I should be able to generate and export PDF reports.
  • As a User, I should be able to interact with predictive maintenance alerts.
  • As a User, I should be able to view interactive charts for data analysis.
  • As a User, I should be able to calculate the carbon footprint of food production.

4. User Personas

  • Admin: Responsible for managing the platform, overseeing user roles, and ensuring system security.
  • Manager: Focuses on operational efficiency, sustainability metrics, and strategic decision-making.
  • Analyst: Analyzes data to provide insights and forecasts for waste management and sustainability.
  • Staff: Engages with the platform for day-to-day operations and monitoring.
  • General User: Utilizes the platform for personal insights, recommendations, and sustainability tracking.

5. Core User Flows

  • Admin logs in -> manages roles and permissions -> updates user access
  • Manager accesses dashboard -> reviews ESG metrics -> generates sustainability reports
  • Analyst logs in -> accesses AI Waste Prediction Engine -> forecasts waste levels
  • Staff checks IoT sensor data -> receives real-time alerts -> takes necessary actions
  • User logs in -> views Digital Twin Facility -> interacts with predictive maintenance alerts
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6. Visuals Colors and Theme

  • primary: #2E8B57 (Sea Green)
  • primary_light: #66CDAA (Medium Aquamarine)
  • secondary: #FF6347 (Tomato)
  • accent: #FFD700 (Gold)
  • highlight: #FFA07A (Light Salmon)
  • bg: #F5F5F5 (White Smoke)
  • surface: rgba(255, 255, 255, 0.9)
  • text: #333333 (Dark Gray)
  • text_muted: #777777 (Gray)
  • border: rgba(0, 0, 0, 0.1)

7. Signature Design Concept

The mega-food platform will feature an interactive "Food Ecosystem" homepage. Users will navigate through a 3D landscape representing different stages of food production and consumption. Each section will be a dynamic, clickable element that expands to reveal detailed information and interactive features. The landscape will change based on user interactions, providing a gamified experience. This concept will be implemented using @react-three/fiber for 3D rendering and framer-motion for smooth animations and transitions.

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8. Interaction Model & Motion Direction

The landing page will utilize a "parallax" interaction model, creating a layered depth effect as users scroll through the content. This will enhance the storytelling aspect of the platform, making it visually engaging and informative. Internal pages will adopt a "static" model for clarity and ease of use, focusing on data presentation and user interaction.

9. Non-Functional Requirements

  • The system must ensure data security and user privacy.
  • The platform should be scalable to handle increased user load.
  • The application must be responsive and accessible across devices.
  • The system should provide real-time data updates with minimal latency.

10. Tech Stack

  • Frontend: React for Web
  • Backend: FastAPI
  • Database: PostgreSQL
  • ORM: Prisma
  • Authentication: JWT
  • AI Models: GPT 5.4 for user-friendly responses
  • AI Tools: Litellm for LLM Routing
  • Local Orchestration: Docker
  • Server-side Orchestration: Kubernetes
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11. Assumptions and Constraints

  • The platform will primarily serve users in India, considering local currency and timezone.
  • The system must comply with regional data protection regulations.
  • The platform should integrate seamlessly with existing food industry systems.

12. Glossary

  • RBAC: Role-Based Access Control
  • ESG: Environmental, Social, and Governance
  • IoT: Internet of Things
  • JWT: JSON Web Token
  • ORM: Object-Relational Mapping

This document provides a comprehensive overview of the mega-food project requirements, ensuring a clear path from planning to implementation.

Landing design preview
Landing: View Platform
Login: Sign In
Dashboard: View Overview
UserManagement: Manage Roles
UserManagement: Set Permissions
UserManagement: Update Access
Settings: Configure System
Settings: Manage Security
Reports: Export PDF