Embedded-Systems

A collection of university projects involving Arduino, ATmega328P, ESP32, and general embedded systems development.

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📂 Repository Structure

• Arduino328P → Smart Autonomous Microbot
• Greenhouse_Atmega328p_code → IoT Greenhouse Monitoring Hub

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Project 1: Arduino328P – Smart Autonomous Microbot

🔧 Overview

An embedded systems project demonstrating robotics, Bluetooth control, and autonomous navigation. The microbot integrates sensors, led indicators for interactive functionality implemented through raw embedded c programming and hardware setup.

⚙️ Features

• 🚗 Remote Control Mode via Bluetooth (UART communication)
• 🔄 Autonomous Mode using HC-SR04 Ultrasonic Sensor for obstacle detection & avoidance
• 🔊 Buzzer alerts when reversing or triggered from mobile app
• 💡 Lighting System
  • Front headlights
  • Rear lights
  • Left/Right indicator LEDs
• 🌡️ LM35 Temperature Sensor for live data monitoring
• 📡 Bidirectional communication (sending & receiving data via UART)
• 🎶 Dance Function for demonstration & fun interaction
• Check out the demonstration video: https://youtube.com/shorts/MYuRv3px1k4?feature=share

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Project 2: Greenhouse_Atmega328p_code – IoT Greenhouse Monitoring Hub

🔧 Overview

An IoT project built with ATmega328P, ESP8266 Wi-Fi, and multiple sensors. It provides real-time environmental monitoring, cloud connectivity, and AI-powered predictions for smart greenhouse management.

⚙️ Features

• 🌡️ Sensors

  • DHT20 → Air Temperature & Humidity
  • DS18B20 → Soil Temperature
  • LDR → Light Intensity

• 💨 Relay-controlled Fan → Automatically turns on/off based on set temperature threshold

• 🔊 Passive Buzzer → Plays startup melodies and alerts when fan state changes

• 🖥️ LCD Display → Shows real-time sensor values and fan state locally

• 🌐 Cloud Integration

  • ESP8266 Wi-Fi uploads sensor data to ThingSpeak via REST API
  • Dashboard hosted on Render for visualization, code can be viewed here: https://github.com/ProfessionalEngineer23/greenhouse-dashboard
  • Demonstration video: https://youtube.com/shorts/Hdc7Yb3v1_c?feature=share
  • Development vlog: https://www.youtube.com/playlist?list=PLw1CliiFCSWNNFSFAg9YIj1HqUXdAepGj

• AI/ Algorithm Predictions

  • Implemented using Python + XGBoost on Google Colab
  • Predicts future greenhouse sensor values and exports them as graph images and .csv files. (temperature, humidity, soil temp, light)
  

PCB Implementation:

• Schematic:

• Pcb:

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Prerequisites for Greenhouse.ino code

• Arduino IDE or PlatformIO
• Libraries:
  • OneWire
  • DallasTemperature
  • LiquidCrystal
  • rgb_lcd
  • Arduino_SensorKit