Gurugram (Haryana) [India], November 28 (HBTV): Clavrit Digital Solutions, a leading technology brand, has unveiled an innovative solution to combat water contamination caused by industrial discharges, sewage, human waste, and waste disposal. This advanced technology aims to enhance awareness of water contaminants and residues, addressing the global concern over water quality.
The solution includes a weather and IoT-enabled physical unit that provides real-time analytics on water pollution from various sources. This device integrates seamlessly into existing systems, offering actionable insights for government bodies, organisations, and communities striving to safeguard water resources and prevent contamination.
Clavrit's AI-powered solutions are transforming environmental monitoring with a unique focus on restoring water bodies, including the Yamuna River. The system uses advanced data analysis powered by AI and machine learning to generate meaningful insights, enabling collaboration among stakeholders for collective outcomes. Unlike traditional methods, the predictive analytics feature not only assesses current water quality but also forecasts future trends, empowering proactive decision-making.
Amarjeet Dangi, Founder and CEO of Clavrit Digital Solutions, highlighted the company's commitment to societal impact: 'With our determined technological services, we aim to enable organisations to monitor and safeguard water bodies effortlessly. Technology can be a force for social good—this drives us to create effective tools that make a meaningful difference in our society.'
Founded in 2019, Clavrit Digital Solutions has rapidly established itself as a global leader in IT solutions. Specialising in AI, machine learning, robotics, SAP and Salesforce consulting, and enterprise software solutions, the company is committed to addressing environmental challenges with cutting-edge technology. Clavrit’s latest innovation solidifies its position as a trailblazer in sustainable water management, promoting societal and environmental impact through data-centric approaches.
(ANI)