At Aqua Alert, we're proud to present our state-of-the-art machine learning model designed to revolutionize wastewater contaminants detection. With an impressive accuracy rate of 99.72%, our model is set to transform how we monitor and tackle contaminants in wastewater.
Aqua Alert is able to detect ten different contaminanted substance which poses a serious global threat to natural ecosystem.
Aqua Alert with real-time capabilities, offers instant contaminant detection, enabling swift responses to emerging issues. This means quicker intervention and reduced risk to ecosystems and communities.
Seamlessly integrating into existing wastewater management systems, our model is designed for practicality. It adapts to various data sources and formats, making adoption hassle-free for industries. It also seamlessly integrates with Internet of Things (IoT) devices and sensors, enhancing its data collection capabilities.
Developed using advanced ML algorithm, Random Forest Classifier, our model is the result of meticulous training and optimization. It is trained with more than 1,50,000 datasets. It's designed to learn and adapt to evolving contaminant patterns, enhancing its performance over time.
Our model isn't just a technological breakthrough; it's a commitment to safeguarding the environment. By identifying contaminants early, we're contributing to cleaner waterways and a healthier planet.
Responsible for Design, Model Building & Deployment
Responsible for Data Preprocessing & Website Development
Responsible for Model Building & Android App Development
Responsible for Data Preprocessing & Website Development
Resposible for Project Website development
