IoTBasedCarControl

A Wi-Fi-enabled remote control car built with NodeMCU and BLynk IoT, enabling wireless smartphone-based movement control

Project Objectives

• To develop a Wi-Fi-controlled car using NodeMCU and DC motors
• To implement real-time motion control via a smartphone interface
• To integrate cloud-based control through the Blynk platform
• To provide adjustable speed and directional control

---

Key Features

• Smartphone-based wireless control (Forward, Backward, Left, Right, Stop)
• Wi-Fi connectivity using NodeMCU ESP8266
• Speed control using a slider widget
• Simple and modular code written in Arduino (C++)
• Suitable for academic demonstrations, exhibitions, and prototyping

---

Hardware Requirements

Component	Quantity
NodeMCU ESP8266	1
L298N Motor Driver Module	1
DC Motors	2
Motor Chassis	1 set
Li-ion Battery Pack	1
Jumper Wires	As needed
Smartphone with Blynk App	1

---

Circuit Diagram Overview

NodeMCU Pin	L298N Motor Driver
D0	ENA
D1	IN1
D2	IN2
D3	IN3
D4	IN4
D5	ENB

Ensure common GND between NodeMCU, motor driver, and power supply.

---

Blynk App Configuration (Legacy)

1. Install Blynk Legacy app from Play Store / App Store.
2. Create a new project:
   • Device: ESP8266
   • Connection type: Wi-Fi
3. Note the Auth Token sent via email.
4. Add the following widgets:
   • Button (V0) – Forward
   • Button (V1) – Backward
   • Button (V2) – Left
   • Button (V3) – Right
   • Slider (V4) – Speed control (range 0–1023)
5. Save and run the project after uploading the code.

---

Arduino IDE Setup

1. Install the following libraries from Library Manager:
   • Blynk
   • ESP8266WiFi
2. Replace placeholders in the code:

   char auth[] = "YourAuthToken";
   char ssid[] = "YourWiFiSSID";
   char pass[] = "YourWiFiPassword";
   

Future Upgrades

This project provides a strong foundation for IoT-based robotics and can be further enhanced with the following features:

• Obstacle Detection and Avoidance
  Integrate ultrasonic sensors to detect objects and automatically stop or reroute the car.

• Live GPS Tracking
  Add a GPS module to track the car’s real-time location on a map interface.

• Voice-Controlled Operation
  Enable voice commands using Google Assistant, Alexa, or offline voice modules.