Environmental Monitoring
Sensor-to-cloud environmental monitoring with anomaly-detection objectives.
My role
AI / IoT Developer
Overview
What I built.
An IoT monitoring project combining Raspberry Pi and Arduino sensors, Python processing, cloud data aggregation and dashboard visualisation.
Challenge
The problem.
Connect physical sensor collection to cloud-based monitoring and identify unusual patterns that could support early-warning use cases.
Contribution
What I did.
Built an IoT-focused sensor collection pipeline using Raspberry Pi and Arduino.
Designed data flow from devices to backend/cloud aggregation.
Created dashboard-oriented live environmental monitoring workflows.
Applied anomaly-detection thinking to unusual sensor patterns and alerting scenarios.
Architecture
System flow.
Highlights
Outcome
A practical IoT/AI project linking sensor hardware, cloud processing and intelligent monitoring concepts.