Water Informatics Lab — Calcutta University
IoT-based water monitoring prototypes funded by the Ministry of Jal Shakti, Government of India.
Background
Worked in the Water Informatics Laboratory at AKCSIT, University of Calcutta, on a project funded by the Ministry of Jal Shakti, Government of India. The full project report documents the research and implementation.
IoT Prototype
Designed IoT-based prototypes to detect water leakage and measure water parameters — flow rate, pH, and turbidity — in real time using sensors and NodeMCU microcontrollers. The architecture involved multicasting sensed data across multiple NodeMCU devices to a single aggregation node, which then pushed readings to the ThingSpeak cloud platform for storage and visualization.
The data pipeline bridged hardware prototyping, embedded systems programming, and cloud infrastructure — from physical sensor wiring to real-time dashboards.
Time-Series Forecasting
Applied the ARIMA model for time-series forecasting of water parameters using Python. The forecasting layer analyzed historical sensor data to predict trends in flow rate and quality metrics — enabling proactive leak detection rather than reactive alerts.
The work bridged hardware prototyping, embedded systems programming, cloud data pipelines, and statistical modeling — a full-stack systems problem, just not the usual kind.