cosmic-food

byAditya Maurya

create food delivery aap

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System Requirements

System Requirement Document
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System Requirements Document (SRD) for cosmic-food

1. Introduction

Welcome to the System Requirements Document (SRD) for cosmic-food, now branded as TastyGo. This document outlines the requirements, design concepts, and technical specifications for the development of TastyGo, a food delivery application envisioned by Aditya Maurya in India. The app aims to provide a seamless and delightful food ordering experience for users, connecting them with local restaurants and eateries.

TastyGo is designed to cater to the diverse culinary preferences of users in India, offering convenience, reliability, and a user-friendly interface. This SRD serves as the foundation for the development process, ensuring alignment with Aditya's vision and user expectations.

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2. System Overview

TastyGo is a food delivery platform that connects users with restaurants, enabling them to browse menus, place orders, and receive deliveries at their doorstep. The system will include features for users, restaurant partners, and delivery personnel, ensuring a streamlined experience for all stakeholders.

Key objectives of TastyGo:

  • Provide a user-friendly interface for browsing and ordering food.
  • Enable restaurants to manage their menus and orders efficiently.
  • Facilitate delivery personnel in tracking and completing deliveries.
  • Ensure secure payment processing and real-time order tracking.

The system will be optimized for both web and mobile platforms, ensuring accessibility across devices. Locale-specific defaults, such as currency (INR) and timezone (IST), will be incorporated to enhance user experience.

3. Functional Requirements

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User Story Points:

  • As a User, I should be able to browse restaurants and their menus.
  • As a User, I should be able to search for specific dishes or cuisines.
  • As a User, I should be able to place an order and make secure payments.
  • As a User, I should be able to track my order in real-time.
  • As a User, I should be able to rate and review restaurants after receiving my order.
  • As a Restaurant Partner, I should be able to manage my menu and update availability.
  • As a Restaurant Partner, I should be able to view and process incoming orders.
  • As a Delivery Personnel, I should be able to view assigned orders and navigate to delivery locations.
  • As an Admin, I should be able to manage user accounts, restaurant registrations, and delivery personnel profiles.
  • As an Admin, I should be able to monitor system performance and resolve disputes.

4. User Personas

1. User

  • Description: Individuals who use TastyGo to order food.
  • Needs: Easy navigation, secure payments, real-time order tracking, and reliable delivery.
  • Pain Points: Long delivery times, inaccurate orders, and poor customer service.

2. Restaurant Partner

  • Description: Restaurants and eateries partnering with TastyGo to offer their menus.
  • Needs: Efficient order management, menu customization, and visibility to users.
  • Pain Points: Delayed payments, technical issues, and lack of user engagement.
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3. Delivery Personnel

  • Description: Individuals responsible for delivering orders to users.
  • Needs: Clear navigation, real-time updates, and fair compensation.
  • Pain Points: Poor route optimization, delayed payments, and lack of support.

4. Admin

  • Description: System administrators managing the platform.
  • Needs: Comprehensive system oversight, user management tools, and dispute resolution capabilities.
  • Pain Points: Scalability challenges, system downtime, and complex user issues.

5. Visuals Colors and Theme

Color Palette:

  • Background: #FDF6E3 (Soft Cream)
  • Surface: #FFE4B5 (Warm Sand)
  • Text: #333333 (Deep Charcoal)
  • Accent: #FF4500 (Bright Tangerine)
  • Muted Tones: #B0C4DE (Dusty Blue)

The color palette reflects the warmth and vibrancy of food culture, creating an inviting and appetizing visual experience.

6. Signature Design Concept

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The "Interactive Food Galaxy" Homepage

The TastyGo homepage will feature an Interactive Food Galaxy—a dynamic, animated galaxy map where each "star" represents a restaurant or cuisine. Users can navigate the galaxy by zooming in and clicking on stars to explore menus, reviews, and offers.

Key Features:

  • Animation: Stars twinkle subtly, and the galaxy rotates slowly, creating a mesmerizing effect.
  • Interaction: Hovering over a star reveals a preview of the restaurant or cuisine, while clicking opens detailed information.
  • Transitions: Smooth zoom-in and zoom-out effects with a slight parallax motion for depth.
  • Color Shifts: The galaxy background transitions between hues of orange, red, and yellow, evoking the warmth of food.
  • Micro-interactions: Stars pulse gently when hovered over, and clicking triggers a ripple effect.

This bold and eccentric design will make TastyGo instantly memorable, offering users a unique and engaging way to explore food options.

7. Non-Functional Requirements

  • Performance: The system must handle up to 10,000 concurrent users without degradation.
  • Scalability: The architecture should support adding new restaurants and delivery zones seamlessly.
  • Security: All user data and payment information must be encrypted and comply with GDPR and Indian IT Act standards.
  • Availability: The system should maintain 99.9% uptime.
  • Localization: Support for multiple Indian languages and regional cuisines.

8. Tech Stack

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Frontend:

  • React for Web
  • React Native for Mobile App

Backend:

  • Python
  • FastAPI

Database:

  • MySQL or MariaDB (preferred for RDBMS)
  • MongoDB (for NoSQL requirements)
  • WeaviateDB (for VectorDB needs)

AI Models:

  • GPT 5.4 for user-friendly responses
  • Claude 4.6 Opas for coding and academic tasks
  • Gemini 3.1 Pro for conversational interactions
  • Google Nano Banana for image generation

AI Tools:

  • Litellm for LLM Routing
  • Langchain
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Orchestration:

  • Docker and docker-compose for local development
  • Kubernetes for server-side orchestration

9. Assumptions and Constraints

Assumptions:

  • Users will primarily access the platform via mobile devices.
  • Restaurants will provide accurate menu and pricing information.
  • Delivery personnel will have access to smartphones with GPS functionality.

Constraints:

  • Limited internet connectivity in rural areas may impact performance.
  • Regulatory compliance with Indian food and e-commerce laws.
  • Scalability challenges during peak hours (e.g., festivals).
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10. Glossary

  • User: An individual ordering food through TastyGo.
  • Restaurant Partner: A business offering food via TastyGo.
  • Delivery Personnel: Individuals delivering food orders to users.
  • Admin: System administrators managing the platform.
  • RDBMS: Relational Database Management System.
  • NoSQL: Non-relational database system.
  • VectorDB: Database optimized for vector-based data storage.
  • LLM: Large Language Model.

End of Document

Landing design preview
Login: Sign In
Dashboard: Monitor System
Users: Manage Accounts
Restaurants: Manage Partners
Restaurants: Approve Registration
Disputes: Resolve Issues