An AI enabled quasi-real-time water quality monitoring for early chemical and/or bio-contamination detection
AI enabled quasi-real-time water quality monitoring for early chemical and/or bio-contamination detection is a groundbreaking project aimed at addressing UN’s Sustainable Development Goal (SDG) #6, which focuses on ensuring universal access to clean water and sanitation. Despite being a fundamental requirement for human existence, over 2 billion people worldwide lack access to uncontaminated drinking water, leading to grave health risks. The prevalence of contaminated water sources is responsible for the transmission of severe diseases, such as cholera, typhoid, and polio, posing a significant threat to public health. Even areas with proper water treatment facilities are susceptible to contamination due to breaches in distribution systems. This project endeavors to revolutionize water quality management through an innovative AI-enabled IoT solution.
The primary objective of the project is to develop an AI-enabled IoT-based early warning bio-surveillance system capable of detecting and predicting contamination events in freshwater body reservoirs. The project aims to assess the risk associated with consuming the water, thus providing timely warnings to prevent potential health hazards
Improved water quality directly influences food safety and agricultural practices, contributing to achieving zero hunger
Timely detection of water contamination minimizes health risks and curbs the spread of waterborne diseases, promoting good health and well-being
The project's core focus on ensuring clean water aligns directly with SDG 6, promoting safe and sustainable water access
The project creates employment opportunities and capacity building, contributing to decent work and economic growth
Enhanced water quality management contributes to creating sustainable and resilient cities and communities
Through efficient water resource management, the project indirectly supports climate change mitigation efforts
The AI-enabled solution ensures continuous and quasi-real-time monitoring of physical, chemical, and microbiological water quality parameters
The project's early warning system aids in detecting contamination anomalies, minimizing health risks and potential damages
By reducing laborious water distribution tasks, the project empowers women, supports education, and indirectly contributes to SDG 1, 2, and 5
The project promotes efficient water resource management, aligning with SDG 6 and contributing to climate change mitigation efforts
The AI enabled quasi-real-time water quality monitoring for early chemical and/or bio-contamination detection project embodies a holistic approach to water quality management, leveraging cutting-edge technologies to ensure safe and sustainable water distribution. By aligning with multiple UN SDGs and fostering collaboration among nations and organizations, the project aims to make a lasting impact on public health, economic growth, and environmental sustainability. Through its innovative AI-enabled solution, the project is poised to revolutionize the way water is managed, distributed, and monitored, ultimately bringing us closer to achieving the vision of clean water and sanitation for all.