AquaSense AI

Project Overview

AquaSense AI is a Django-based water quality prediction system that uses multiple machine learning models to analyze water parameters and provide treatment suggestions. The system offers both manual input and IoT sensor integration options, making it versatile for various deployment scenarios.

Key Features

• Comprehensive water quality parameter analysis (pH, turbidity, TDS, etc.)
• Real-time prediction using ensemble machine learning models
• Integration with IoT sensors for automated data collection
• Detailed water quality reports with treatment recommendations
• User-friendly interface for manual parameter input

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Technical Implementation

The system architecture includes several integrated components:

• Django web framework for the application backend
• Gradient boosting model used for parameter analysis
• REST API for IoT sensor data integration
• Interactive dashboards for data visualization
• Secure user authentication and data management

Impact & Applications

AquaSense AI addresses critical water quality monitoring needs in various contexts:

• Municipal water treatment facilities
• Environmental monitoring agencies
• Research institutions studying water ecology
• Residential water quality management
• Agricultural water supply monitoring