Published Paper Details:

Water scarcity and pollution are growing global concerns, making wastewater recycling a vital solution for sustainable water management. This paper presents the design and implementation of an IoT-based Automatic Waste Water Treatment System that automates the filtration process using a multi-stage purification approach. The proposed system utilizes four primary stages: sand filtration, charcoal filtration, alum coagulation, and membrane filtration, which work together to remove physical, chemical, and fine particulate impurities from wastewater. The process is monitored and controlled using a NodeMCU ESP8266 microcontroller, which manages a water pump based on real-time data from water level sensors. Through an IoT dashboard (such as Blynk), users can remotely monitor the system's status, receive alerts, and control water inlet operations. The system ensures that water is only pumped when required, reducing manual intervention and energy consumption. Additionally, optional sensors such as turbidity or TDS can be integrated for water quality assessment. This smart, low-cost, and energy-efficient solution can be deployed in domestic, agricultural, and industrial settings for effective water recycling. The proposed design demonstrates the potential for combining traditional filtration techniques with modern IoT technologies to promote sustainable, automated, and decentralized wastewater treatment.