GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 2
Development of New Concepts of Generating Pure Water from Dirty Water using AI – ML – DL with IoT Techniques
Authors
Pavithra G, Sunaina S Patil, Harsha Sharma, Harshith Gowda, Archana S Ayushman Shrivastava, Rajini Rai
Abstract
In this research paper, the development of composite technology-based method of generating pure water from dirty water using AI - ML & IoT techniques with compositepowdered concepts is provided with some experimentation results. These pollutants adversely affect aquatic ecosystems, soil fertility, and human health, thereby creating an urgent need for efficient, economical, sustainable, and environmentally friendly water purification technologies. In recent years, composite technology has emerged as one of the most promising approaches for advanced water purification due to the exceptional physicochemical properties of composite materials, including high surface area, enhanced adsorption capability, superior catalytic activity, and improved contaminant removal efficiency. The present work focuses on the design and development of a composite technology-based smart water purification system using Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) techniques for obtaining pure water from contaminated water sources. The green synthesis approach utilizes phytochemical compounds present in plant extracts as natural reducing and stabilizing agents, thereby minimizing the use of toxic chemicals and supporting environmentally sustainable composite particle synthesis. The synthesized CaO composite particles were utilized as composite- adsorbents and catalytic materials for wastewater purification and dye degradation applications. The synthesized composite materials were characterized using various analytical and material characterization techniques such as X-Ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy with Energy Dispersive Spectroscopy (SEM-EDS), BET surface area analysis, and UV–Visible spectroscopy. The characterization studies confirmed the successful formation of crystalline calcium oxide composite particles with desirable structural, morphological, optical, and surface properties suitable for adsorptions.
Pages:
6762 - 6766