water-quality-analysis

📌🤝Water Quality Monitoring Centralized Dashboard with various water quality parameters using Remote Sensing and AI for better decision making.

Analytical understanding and applying parameter optimization, regression with gradient descent to predict water quality levels across Indian waters.

Water quality characterization of 69 watersheds in Northeast B.C.

Project Varunna: AI-powered satellite imagery analysis for water quality assessment. Because judging Earth from space is the next logical step.

[In Development] PACE Hackweek 2025 participants passionate about applied science and applying PACE data to understand water quality, coastal resilience, and post-disaster recovery. Team: Katie Miller, Nathan Tesfayi, and Anna Valcarcel

Data analysis and machine learning project focused on assessing water quality using Decision Tree and Random Forest models

This app is useful for the fish farmer who cultivates fish on their ponds. The farmer will get the necessary action suggestions after matching pond's water quality level. The important parameter DO is taken to evaluate the water quality and given suggestions for all the three types of fish. There are also user manual and important cautions.

Machine learning and deep learning-based prediction of irrigation water suitability using citizen-science environmental water-quality data containing physicochemical, temporal, and geospatial attributes.

Calculatrice & conseils pour piscine hors-sol — volume, paramètres eau, corrections et dosages

Machine learning web app that predicts water safety using Random Forest based on 9 key quality parameters with interactive analytics.

A full-stack IoT and ML application that monitors, assesses, and visualizes water safety parameters in real-time. Features dynamic sensor graphs and a Flask-based predictive voting model for potability analysis.

Calculates the Forel-Ule Index of water quality from surface reflectances. Works with point and image data.

Group Project for USTH Group Project 2023, yes the course name is "Group Project"

This project is a water quality prediction system developed for Omdena's Rwanda Chapter. The system utilizes the Streamlit framework to provide an interactive user interface for predicting water quality in different locations.

Water Quality Prediction

An AI-driven Integrated Water Intelligence Framework for district-level groundwater risk prediction by combining groundwater stress assessment, water quality analysis, water pipeline leakage detection, and graph neural networks.

geo analysis script for data collected by the USVs

The Cockburn Sound Integrated Ecosystem Model

Developed an Arduino-based TDS sensor for water quality monitoring using conductivity measurement and experimental calibration. Performed statistical validation, data analysis, and sensor comparison against a commercial TDS meter to evaluate accuracy, repeatability, and reliability.