Analytical understanding and applying parameter optimization, regression with gradient descent to predict water quality levels across Indian waters.
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Updated
Apr 28, 2021 - Jupyter Notebook
Analytical understanding and applying parameter optimization, regression with gradient descent to predict water quality levels across Indian waters.
📌🤝Water Quality Monitoring Centralized Dashboard with various water quality parameters using Remote Sensing and AI for better decision making.
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.
Data analysis and machine learning project focused on assessing water quality using Decision Tree and Random Forest models
Calculates the Forel-Ule Index of water quality from surface reflectances. Works with point and image data.
geo analysis script for data collected by the USVs
The Cockburn Sound Integrated Ecosystem Model
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.
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.
Developing an Automated Water Quality Prediction System using Machine Learning
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