At P2W, we are committed to providing innovative solutions to help potable water management companies in Morocco meet the highest standards of water quality.
Our advanced predictive modeling tool, is specifically designed to align with NM 03.7.001, the Moroccan standards for the quality of drinking water.
Helping companies make informed decisions about water treatment processes, improving efficiency and reducing costs.
By predicting water potability based on critical parameters such as pH, conductivity, turbidity, chlorine levels, and microbiological indicators like E. coli, coliforms, enterococci, and clostridia.
Ensuring that water quality meets the NM 03.7.001 standard, providing safe drinking water to communities across Morocco.
Our tool uses a robust machine learning algorithm to predict water potability. The model is trained on extensive datasets and provides predictions with high accuracy. Users can input specific water quality data, and the tool will output a prediction on whether the water is potable or non-potable, along with confidence levels for the prediction.
Our tool delivers precise and reliable predictions, minimizing the risk of non-compliance with water quality standards.
Developed with cutting-edge machine learning techniques, AquaPredict is at the forefront of water quality management technology.
Built on the knowledge and experience of a seasoned professional in water and environmental engineering.
Water Engineer, Founder & CEO
Industrial Engineer & Developer