Water Potability Analysis System
Opened this issue · 2 comments
Is your feature request related to a problem? Please describe.
Access to safe drinking water is a critical public health concern, influencing not only individual health but also national and regional development. Evaluating water quality metrics can help identify key factors impacting potability and guide necessary interventions.
Describe the solution you'd like
Develop a system to analyze water quality metrics and determine potability using the key parameters like pH, hardness, total dissolved solids (TDS), chloramines, sulfate, conductivity, organic carbon, trihalomethanes, turbidity, and potability. The goal is to use machine learning models to predict whether water is potable based on these parameters and identify critical indicators impacting water quality.
Describe alternatives you've considered
Manual monitoring and analysis of water quality parameters.
Simple threshold-based classification using individual factors.
Approach to be followed (optional)
Perform exploratory data analysis to identify patterns, correlations, and trends in the dataset. Use classification algorithms to predict potability and feature importance analysis to determine the most impactful water quality parameters.
@UppuluriKalyani kindly assign this issue to me under GSSoC'24 extended and hactoberfest'24
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Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you.
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