🚗 AutoPark32 – Smart Parking System with Dual Cloud Integration & Dynamic Pricing (ML-Based)

This project simulates a smart parking system using ESP32 (Wokwi) to monitor slot availability and leverages MQTT, ThingSpeak, and AWS IoT Core for cloud integration. It features dynamic pricing powered by machine learning, responsive dashboards, and scalable data routing—all without the need for physical hardware.

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📌 Features

• 🔄 Real-time parking slot detection (1 = Occupied, 0 = Available)
• 📡 MQTT data publishing via HiveMQ (test.mosquitto.org)
• 🌐 Dual cloud routing:
  • 🚀 ThingSpeak: Visualization + API data stream
  • ☁️ AWS IoT Core: Enterprise-grade handling via Python MQTT bridge
• 🧠 ML-based dynamic pricing algorithm
• 🧩 ReactJS frontend for real-time dashboard and pricing display
• 🧪 Wokwi simulator—fully hardware-free testing

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🧠 ML-Driven Dynamic Pricing

Our machine learning model adjusts pricing based on:

• Current parking occupancy
• Historical slot usage patterns
• Time of day and availability trends

This allows demand-based real-time pricing similar to modern smart city systems.

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🧩 Architecture Overview

🔁 Flow 1: AWS IoT Core (Secure Cloud Processing)

[Wokwi ESP32 Simulation]
        |
        | MQTT (smart_parking/status)
        v
[HiveMQ - test.mosquitto.org]
        |
        | Python MQTT Bridge (TLS & Certs)
        v
[AWS IoT Core]

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🔁 Flow 2: ThingSpeak + Frontend Visualization

[Wokwi ESP32 Simulation]
        |
        v
[ThingSpeak API]
        |
        v
[React Frontend App]

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⚙️ Tech Stack

• Microcontroller Simulation: ESP32 (Wokwi)
• Protocol: MQTT
• Broker: HiveMQ (test.mosquitto.org)
• Backend Cloud: AWS IoT Core (TLS-secured Python bridge)
• Frontend API: ThingSpeak
• UI Layer: ReactJS (real-time visualization + dynamic pricing)
• ML Integration: Python-based model trained on slot occupancy data

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🚀 How to Run

1. Simulate ESP32 in Wokwi
   Publishes slot status via MQTT to smart_parking/status.
2. Run Python MQTT Bridge
   Forwards data securely from HiveMQ to AWS IoT Core using TLS & certificates.
3. Enable ThingSpeak API
   Configures a channel to store real-time parking data for the frontend.
4. Launch React App
   Connects to ThingSpeak API to fetch slot status and dynamic pricing for display.

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