This repository contains my submission for the DecodeLabs IoT Internship Program.
For this internship submission, I selected Tasks 3, 4, and 5 because they collectively demonstrate the complete workflow of an IoT system.
Rather than developing three unrelated projects, I implemented an Industrial Safety Monitoring System and used it to showcase different aspects of IoT development:
- Task 3: Real-time monitoring and visualization of sensor data through a web dashboard.
- Task 4: Automation logic and decision-making based on sensor thresholds.
- Task 5: Integration of sensors, ESP32, dashboard, alerts, and actuators into a complete IoT solution.
This approach demonstrates data acquisition, monitoring, automation, and real-world problem solving within a single industrial application.
Developed a web-based dashboard for monitoring environmental parameters such as temperature, humidity, gas concentration, and flame detection.
Implemented automation rules that trigger alerts and safety actions when abnormal conditions are detected.
Designed and developed an IoT-enabled Industrial Safety Monitoring System using ESP32, DHT11, MQ-2 Gas Sensor, Flame Sensor, Relay, Buzzer, and Web Dashboard.
- ESP32
- Embedded C++
- HTML
- CSS
- JavaScript
- IoT
- Wi-Fi Communication
- Sensor Interfacing
Jay Jain