Naveen Nellaiappan S

• Participated in team project, demonstrating an ability to work collaboratively and effectively.
• Project was aimed at developing an IoT-based system that can detect floods, earthquakes, and landslides using specific sensors.
• The scope of this project extends beyond basic disaster detection by incorporating real-time data analytics, cloud integration, and multi- channel alert dissemination. The system is designed to be scalable, adaptable, and applicable for monitoring multiple disaster types.

Programming Languages:

• Arduino IDE (C/C++) → Used to program the microcontroller.
• Python → For data analysis and cloud communication (if using Raspberry Pi).

Cloud & Data Management:

• ThingSpeak / Firebase / Blynk → Cloud platforms for real-time data monitoring and visualization.
• MQTT Protocol → Facilitates efficient IoT communication between sensors and the cloud.

Mobile & Web Interface:

• Blynk Mobile App → Used for real-time notifications and sensor data monitoring.
• Web Dashboard (HTML, JavaScript, PHP, MySQL) → Displays sensor data in graphical format.