Project Description:

The IoT Smart Coffee Machine is an intelligent, internet-connected coffee maker that allows users to remotely control and customize their coffee preparation via a web or mobile interface. The machine supports multiple brew types, temperature settings, scheduled brewing, and real-time status updates, making it ideal for smart homes, office spaces, or shared environments.

Users can start brewing from their smartphone, set timers, and monitor machine health or ingredient levels using sensors and IoT communication protocols.

Core Objective:

To design a user-friendly smart coffee system that automates and personalizes the coffee brewing process using IoT technology, making coffee preparation convenient, efficient, and remotely accessible.

Key Features:

1. Remote Coffee Brewing:

   • Start or stop brewing from a web/mobile dashboard.

2. Schedule Brew Time:

   • Set specific times for automatic coffee preparation (e.g., 8:00 AM every day).

3. Temperature & Brew Strength Control:

   • Adjust water temperature and brew strength (light/medium/strong) as per user preference.

4. Ingredient Level Monitoring:

   • Sensors monitor coffee powder, water, and milk levels.

   • Notify user when refills are needed.

5. Real-Time Machine Status:

   • Track machine activity (idle, brewing, cleaning, or error state).

6. Auto-Clean Notification:

   • Trigger self-clean mode or send alert when cleaning is needed.

7. Voice Control (Optional):

   • Integrate with Alexa or Google Assistant for voice commands.

8. Multi-User Access:

   • Allow multiple users to queue or schedule coffee, with priority settings.

Tech Stack:

 IoT Hardware:

• ESP32 / Arduino + Wi-Fi module

• Temperature sensor (DS18B20)

• Water level sensor (ultrasonic or float)

• Motor/Relay to control brewing mechanism

• Load cell for ingredient weight

• LCD or OLED display for local interface

 Backend (any one):

• Node.js (Express)

• Java (Spring Boot)

• PHP (Laravel)

• Backend handles brew requests, schedules, user management

 Frontend:

• HTML, CSS, Bootstrap

• JavaScript (AJAX for real-time updates)

• Dashboard to control brewing, view stats, and configure settings

 Communication:

• MQTT or HTTP API between IoT device and backend

 Database:

• MySQL or MongoDB for:

  • User profiles

  • Brew history

  • Machine logs

  • Scheduled tasks