12.AI-Based Smart Classroom Monitoring and Attendance System

AI-Based Smart Classroom Monitoring and Attendance System ESP32 + RFID + AI Agent + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak Cloud Dashboard

AI-Based Smart Classroom Monitoring and Attendance System ESP32 + RFID + AI Agent + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak Cloud Dashboard 1. Project Overview This project is a complete Smart Classroom Monitoring and Attendance System that automatically: ✅ Records student attendance using RFID cards ✅ Monitors classroom temperature and humidity ✅ Tracks classroom occupancy ✅ Uploads data to cloud ✅ Stores attendance in Google Sheets ✅ Sends Telegram alerts ✅ Generates AI-based insights ✅ Predicts classroom power consumption ✅ Provides voice notifications ✅ Creates a real-time dashboard using ThingSpeak 2. System Architecture Data Flow RFID Card ↓ ESP32 Controller ↓ WiFi Connection ↓ ThingSpeak Cloud ↓ n8n Automation ↓ Google Sheets Database ↓ Telegram Bot ↓ Voice Notification ↓ AI Analysis Agent 3. Features Attendance Monitoring RFID-based attendance Automatic student identification Real-time attendance logging Classroom Monitoring Temperature Monitoring Humidity Monitoring Occupancy Monitoring AI Features Attendance trend analysis Absentee prediction Power consumption prediction Classroom utilization analysis Cloud Features ThingSpeak Dashboard Google Sheets Storage Telegram Notifications Voice Alerts 4. Hardware Components Component Quantity ESP32 Dev Board 1 RFID RC522 Module 1 RFID Cards/Tags Multiple DHT11 Sensor 1 IR Occupancy Sensor 1 OLED Display 0.96" 1 Buzzer 1 LEDs 2 Breadboard 1 Jumper Wires As Required USB Cable 1 Power Supply 5V 5. ESP32 Pin Connections RFID RC522 RC522 ESP32 SDA GPIO5 SCK GPIO18 MOSI GPIO23 MISO GPIO19 RST GPIO22 3.3V 3.3V GND GND DHT11 DHT11 ESP32 VCC 3.3V GND GND DATA GPIO4 IR Sensor IR Sensor ESP32 VCC 3.3V GND GND OUT GPIO27 Buzzer Buzzer ESP32 Positive GPIO26 Negative GND 6. Circuit Schematic +------------------+ | ESP32 | | | RFID RC522 ---> | SPI Interface | DHT11 -------> | GPIO4 | IR Sensor ---> | GPIO27 | Buzzer -----> | GPIO26 | OLED -------> | I2C | +------------------+ | WiFi | Internet Cloud | -------------------------------- | | | Google Sheets Telegram ThingSpeak | | | -------------------------------- | AI Agent 7. Flowchart START | Initialize ESP32 | Connect WiFi | Read RFID Card | Card Detected? | YES | Identify Student | Read DHT11 | Read Occupancy Sensor | Upload Data | Store Attendance | Trigger n8n Workflow | Send Telegram Alert | Generate Voice Message | Update Dashboard | Repeat 8. Attendance Data Format { "student_name":"Rahul", "student_id":"RF001", "attendance":"Present", "temperature":"28", "humidity":"65", "occupancy":"Occupied", "timestamp":"2026-05-31 09:15:00" } 9. ESP32 Source Code Structure Required Libraries WiFi.h HTTPClient.h SPI.h MFRC522.h DHT.h ArduinoJson.h WiFi Configuration const char* ssid = "YOUR_WIFI"; const char* password = "YOUR_PASSWORD"; ThingSpeak API String apiKey = "YOUR_THINGSPEAK_KEY"; Student RFID Mapping String card1 = "D3A12F45"; String student1 = "Rahul"; String card2 = "B4C56789"; String student2 = "Priya"; Main Program Logic Read RFID Read DHT11 Read Occupancy Create JSON Send to: ThingSpeak Webhook Google Sheets Wait 10. ThingSpeak Setup Step 1 Create account on: https://thingspeak.com Step 2 Create New Channel Fields: Field 1 → Student ID Field 2 → Temperature Field 3 → Humidity Field 4 → Occupancy Step 3 Copy: Write API Key Read API Key Channel ID Step 4 Use API in ESP32 https://api.thingspeak.com/update 11. Google Sheets Setup Create Sheet Attendance_Log Columns: Date Time Student Name Student ID Temperature Humidity Occupancy Status 12. n8n Workflow Design Webhook | ▼ Google Sheets Node | ▼ AI Agent Node | ▼ Telegram Node | ▼ Voice Generator 13. n8n Workflow JSON Structure { "nodes":[ { "name":"Webhook" }, { "name":"Google Sheets" }, { "name":"AI Agent" }, { "name":"Telegram" } ] } 14. Telegram Bot Setup Step 1 Open Telegram Search: BotFather Step 2 /newbot Step 3 Create Bot Example: SmartClassroomBot Step 4 Copy Bot Token 123456:ABCXYZ 15. Telegram Alert Example 📚 Smart Classroom Alert Student: Rahul RFID: RF001 Attendance: Present Temperature: 28°C Humidity: 65% Time: 09:15 AM 16. Voice Notification Automation Telegram Voice Message Generated by: Google TTS or OpenAI TTS or ElevenLabs Example: Student Rahul attendance recorded successfully. Classroom temperature is 28 degree Celsius. 17. AI Attendance Analysis The AI Agent analyzes: Daily Attendance Present % Absent % Late % Weekly Trends Most active students Frequent absentees Attendance prediction 18. AI Power Consumption Prediction Logic Inputs Occupancy Temperature Class Duration Fan Usage Light Usage Example Dataset Students Temp Fan Light Power 10 28 ON ON 300W 25 30 ON ON 500W 40 32 ON ON 800W Prediction Formula Power=a(Occupancy)+b(Temperature)+c(FanUsage)+d(LightUsage) AI estimates future classroom power requirements and identifies energy-saving opportunities. 19. AI Agent Prompts Example Prompt: Analyze today's attendance. Provide: 1. Attendance % 2. Absent Students 3. Classroom Utilization 4. Energy Consumption Forecast 5. Recommendations 20. ThingSpeak Dashboard Dashboard Widgets: Attendance Count Temperature Graph Humidity Graph Occupancy Status Power Consumption Prediction Attendance Trend Graph 21. Security Features RFID Authentication Only registered cards accepted. Cloud Security HTTPS APIs Token Authentication Telegram Bot Security Backup Google Sheets cloud backup. 22. Future Enhancements AI Face Recognition Replace RFID with camera attendance. Classroom Behavior Analysis Monitor student engagement. Smart Energy Control Automatically control: Lights Fans Projectors Voice Assistant Classroom AI Assistant. Mobile App Android & iOS Application. 23. Real Deployment Guide Classroom Installation Mount RFID reader near classroom entrance. Install ESP32 controller box. Place DHT11 sensor inside classroom. Install occupancy sensor at door. Connect to WiFi network. Configure ThingSpeak. Configure n8n workflow. Connect Telegram Bot. Test attendance logging. Enable AI analytics. Final Outcome This project creates a complete Industry 4.0 Smart Classroom platform combining: ESP32 IoT Monitoring RFID Attendance Tracking AI Agent Analytics n8n Workflow Automation Google Sheets Database Telegram Voice Alerts ThingSpeak Dashboard Power Consumption Prediction Cloud-Based Monitoring It is suitable for B.Tech, M.Tech, Diploma, Polytechnic, Final Year Engineering, IoT, AI & Embedded Systems projects and can be expanded into a full smart campus solution.