starry-parking

bySHWETA SATPUTE

Create a modern, professional, and responsive full-stack website for a project named "SmartPark AI – Intelligent Parking & Traffic Prediction System". THEME: - Smart city + futuristic AI theme - Use dark mode with neon blue / green highlights - Clean UI with smooth animations PAGES & FEATURES: 1. HOME PAGE - Logo: "SmartPark AI" - Tagline: "Smart Parking. Smarter Traffic." - Hero section with smart city background - CTA button: "Find Parking Now" - Navigation: Home | Features | About | Contact | Login 2. USER SYSTEM - Sign up / Login authentication - Dashboard showing: - Available parking slots (real-time simulation) - Book / Reserve parking - Nearby parking (map view) - Booking history 3. ADMIN PANEL - Add/remove parking slots - Monitor occupancy - View analytics (charts, graphs) 4. AI TRAFFIC PREDICTION - Display traffic levels (Low / Medium / High) - Show graph visualization - Predict traffic based on time/location (dummy ML logic allowed) 5. IOT PARKING SIMULATION - Randomly update parking slot availability - Auto refresh every few seconds 6. MAP INTEGRATION - Google Maps / Leaflet - Show parking locations + traffic density 7. EXTRA FEATURES - Notification (booking confirmation) - Dummy payment system - Search & filter parking - Dark/light mode toggle 8. DESIGN REQUIREMENTS - Use cards, gradients, hover effects - Mobile responsive design - Smooth transitions 9. OUTPUT REQUIRED - Complete frontend + backend code - Proper folder structure - Setup instructions - Sample data Make the website look like a real startup SaaS product.

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System Requirements

System Requirement Document
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System Requirements Document (SRD) for starry-parking

1. Introduction

The SmartPark AI project is a modern, professional, and responsive full-stack website designed to revolutionize parking and traffic management. By leveraging AI, IoT, and smart city principles, this platform aims to provide users with real-time parking availability, traffic predictions, and seamless booking experiences. This document outlines the updated system requirements to incorporate the latest user-requested features and ensure alignment with the project's vision.

This SRD has been tailored for SHWETA SATPUTE, based in India, and considers locale-specific defaults such as INR currency, IST timezone, and regionally relevant user behaviors.

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2. System Overview

The SmartPark AI system is an intelligent parking and traffic prediction platform that integrates AI, IoT, and mapping technologies. It caters to both end-users (drivers) and administrators, offering features like real-time parking slot availability, traffic predictions, and booking management. The system is designed to be scalable, secure, and user-friendly, with a futuristic theme that aligns with the concept of a smart city.

Key components include:

  • User System: For drivers to find, book, and manage parking slots.
  • Admin Panel: For administrators to manage parking slots and monitor analytics.
  • AI Traffic Prediction: To provide traffic insights and forecasts.
  • IoT Parking Simulation: For real-time updates on parking slot availability.
  • Map Integration: To display parking locations and traffic density.

3. Functional Requirements

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User Stories

  • As a User, I should be able to sign up and log in to access the system.
  • As a User, I should be able to view available parking slots in real-time.
  • As a User, I should be able to book and reserve parking slots.
  • As a User, I should be able to view nearby parking slots on a map.
  • As a User, I should be able to view my booking history.
  • As a User, I should be able to toggle between dark and light modes.
  • As a User, I should be able to receive notifications for booking confirmations.
  • As a User, I should be able to search and filter parking slots.
  • As a User, I should be able to make dummy payments for bookings.
  • As an Admin, I should be able to add and remove parking slots.
  • As an Admin, I should be able to monitor parking occupancy in real-time.
  • As an Admin, I should be able to view analytics through charts and graphs.
  • As a System, I should display traffic levels (Low/Medium/High) based on AI predictions.
  • As a System, I should show traffic predictions based on time and location.
  • As a System, I should randomly update parking slot availability for IoT simulation.
  • As a System, I should auto-refresh parking slot availability every few seconds.
  • As a System, I should allow the user's choice as a valid input option, as pre-approved by the API supervisor.

4. User Personas

1. End-User (Driver)

  • Description: Individuals looking for parking spaces in real-time.
  • Goals: Find, book, and manage parking slots seamlessly.
  • Key Features: Real-time availability, booking, notifications, traffic predictions.
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2. Administrator

  • Description: Personnel managing parking facilities and system operations.
  • Goals: Monitor and manage parking slots, view analytics, and ensure system efficiency.
  • Key Features: Slot management, occupancy monitoring, analytics dashboard.

5. Visuals Colors and Theme

Color Palette

  • Background: #121212 (Deep Black)
  • Surface: #1E1E2E (Charcoal Gray)
  • Text: #E0E0E0 (Soft White)
  • Accent: #00FFAB (Neon Green)
  • Muted: #3A3A4F (Muted Blue)

This palette reflects a futuristic, smart city aesthetic with a focus on dark mode and neon highlights.

6. Signature Design Concept

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Interactive Galaxy Map Homepage

The homepage will feature an interactive galaxy map where each star represents a parking location. Users can hover over stars to see parking availability and click to zoom into a detailed map view. The galaxy will have subtle animations, with stars twinkling and constellations forming dynamically.

  • Hero Section: A 3D animated smart city skyline with glowing neon outlines.
  • Transitions: Smooth zoom-in and zoom-out effects as users navigate the galaxy.
  • Micro-Interactions: Stars will pulse gently when hovered over, and parking details will appear in a floating card.
  • Color Shifts: The galaxy background will subtly change hues (blue to green) based on user interactions.
  • Call-to-Action: A glowing "Find Parking Now" button that pulses rhythmically.

This design will create an unforgettable first impression, blending functionality with a futuristic aesthetic.

7. Non-Functional Requirements

  • Performance: The system should handle up to 10,000 concurrent users.
  • Scalability: The architecture should support the addition of new features without major overhauls.
  • Security: Implement secure authentication and data encryption.
  • Localization: Support for INR currency and IST timezone.
  • Accessibility: Ensure WCAG 2.1 compliance for accessibility.
  • Responsiveness: Fully functional on mobile, tablet, and desktop devices.

8. Tech Stack

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Frontend

  • React.js (Web)
  • React Native (Mobile)

Backend

  • Python with FastAPI

Database

  • MySQL (RDBMS) with Alembic for migrations

AI Models

  • GPT 5.4 for user-friendly responses
  • Google Nano Banana for image generation

AI Tools

  • LangChain
  • LiteLLM for LLM routing

Orchestration

  • Docker and docker-compose for local development
  • Kubernetes for server-side orchestration
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9. Assumptions and Constraints

  • The system assumes reliable internet connectivity for real-time updates.
  • Google Maps API will be used for map integration.
  • Dummy ML logic will be used for traffic predictions in the initial phase.
  • IoT simulation will rely on WebSocket-based random updates.

10. Glossary

  • AI: Artificial Intelligence
  • IoT: Internet of Things
  • WCAG: Web Content Accessibility Guidelines
  • IST: Indian Standard Time
  • RDBMS: Relational Database Management System
  • API: Application Programming Interface
  • CTA: Call to Action
Home: View Landing
Login: Sign In
Admin Dashboard: Monitor Occupancy
Slot Manager: Add Remove Slots
Analytics: View Charts
Traffic: View Predictions