Water Quality Predictor

The world is increasingly heading towards technology, and living has grown much simpler because of these wonderful advancements. However, several developing nations, such as Pakistan, are still dealing with water contamination in the twenty-first century. Without any monitoring or filtration mechani

Project Title

Water Quality Predictor

Project Area of Specialization

Computer Science

Project Summary

The world is increasingly heading towards technology, and living has grown much simpler because of these wonderful advancements. However, several developing nations, such as Pakistan, are still dealing with water contamination in the twenty-first century. Without any monitoring or filtration mechanism, the sloppy and filthy water is nonetheless utilized for drinking. Water pollution is one of the leading causes of water-borne illnesses in humans, such as dengue fever, cholera, and malaria, among others. Water contamination is responsible for 40% of all fatalities globally. Water contamination is harmful to animals and agriculture, in addition to humans. As a result, a system to monitor water quality is essential for the country's socio-economic development.

With the rise of industry and a growing population, this is becoming a bigger challenge for developing countries. The typical approach for monitoring water quality is unreliable since it does not continuously offer information about water characteristics such as pH, turbidity, conductivity, temperature, and so on. As a result, we must design a real-time system to monitor water quality so that appropriate steps can be made in a timely manner to avoid unsuitable situations.

As a result, better approaches for monitoring water parameters in real-time are required. As a result, in this project, we propose the design and development of a low-cost system for real-time water quality monitoring in the Internet of Things (internet of things) and AI. The system, which consists of multiple sensors, is used to measure the water's physical and chemical characteristics. Temperature, PH, turbidity, and conductivity of the water can all be determined.

Project Objectives

• A Real-Time IoT Based Water Quality Monitoring 
• Machine Learning capable
• Designing and developing a low-cost system.
• Visualization and Monitoring of values in real-time.

Project Implementation Method

• Sensing stage

• Data acquisition stage

• Wireless data transmission to IoT cloud stage

• Visualization and Monitoring stage

• Recommendation for prevention of water contamination using Machine learning

Benefits of the Project

• Recent improvements in Internet-of-Things (IoT) technology may be used to construct more efficient, secure, and cost-effective systems with real-time capabilities
• Designed specifically for domestic use
• will help the growing sector of smart homes, offices, and cities
• The project utilizes both IoT with Machine learning to produce accurate results

Technical Details of Final Deliverable

• Designing a Real-Time IoT Based Water Quality Monitoring System integrated with ML.

• Recommendation engine using AI to prevent water contamination.

• Full-fledged E-commerce store to buy chemicals according to the recommendation engine

• Web-based landing page.

• A fully functioning Android app showing real-time water quality results

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Health

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com