Cloud-Based IoT Data Monitoring & Analysis with ThingSpeak | Temperature & Humidity (Public API)
This video demonstrates my project for DFN40503 – Embedded Internet of Things, focusing on cloud-based data monitoring and descriptive analysis using ThingSpeak.
✅ Project Objective:
Monitor and analyze real-time temperature & humidity data from a Public API
Upload data to ThingSpeak for cloud visualization
Perform MATLAB-based time-series and statistical analysis (MIN, MAX, MEAN, STD)
✅ Implementation:
Python script retrieves live weather data from OpenWeather API
Data uploaded to ThingSpeak channel fields (Temperature & Humidity)
ThingSpeak charts configured for dynamic visualization
MATLAB used for time-series plotting and descriptive statistics
✅ Key Insights:
Temperature remained stable with low variation
Humidity showed moderate variability but within a consistent range
Demonstrates the effectiveness of cloud-based IoT analytics for environmental monitoring
Report Reference: DFN40503 Problem-Based Assignment
🎥 Produced by: [SHARVINTHIRAN A/L SUBRAMANI]
📚 Course: DFN40503 – Embedded Internet of Things
#IoT #ThingSpeak #MATLAB #CloudComputing #DataAnalytics #PublicAPI #OpenWeather #Temperature #Humidity