Add Water Potability Predictive Model

[student-smritipandey]

The Water Potability Prediction model is a machine learning-based solution designed to determine whether water is safe for human consumption. Using key water quality parameters—pH, Total Dissolved Solids (TDS), Turbidity, Depth, and Flow Discharge—the model classifies water as Safe or Unsafe.

The project leverages a Random Forest Classifier, trained on real-world water quality datasets, to accurately identify unsafe water samples, even in regions where laboratory testing is unavailable. To improve reliability, the system also incorporates a threshold-based safety check that instantly marks samples as Safe if pH, TDS, and Turbidity fall within widely accepted safe limits.

The solution is integrated with an interactive Streamlit web application, allowing users to input water feature values via sliders and receive real-time predictions. This makes it highly accessible for rural and urban communities, water treatment facilities, and public health organizations.

Key Features:

Accurate classification of water samples using Random Forest.

Quick threshold check for obvious safe samples.

User-friendly web interface for real-time predictions.

Scalable and deployable for batch predictions or online monitoring.

Impact:
This model helps communities detect water contamination early, ensuring better public health, and supporting water quality monitoring initiatives in areas lacking laboratory infrastructure.

🔄 Type of Change

• ✨ New feature (non-breaking change which adds functionality)
• ⚡ Performance improvement

🧪 Testing

• I have performed a self-review of my code
• Code has been tested locally
• Tests pass (if applicable)
• No new warnings introduced

✅ Checklist

• My code follows the project's coding standards
• I have updated documentation where necessary
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works

[github-actions]

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[student-smritipandey]

@AvishkarPatil added the model please check