AqueSense Technologies

Water Quality Monitoring Project

Real-time water quality monitoring system

AqueSense is a comprehensive water quality monitoring system featuring real-time data analysis, anomaly detection, and classification to monitor water quality parameters.

Key Features

Real-time Monitoring

Monitors critical water quality parameters in real-time using sensor technology and data visualization.

AI-Powered Predictions

Advanced TensorFlow.js neural networks running in your browser. Our LSTM models analyze temporal patterns to forecast water quality up to 72 hours ahead.

NEW

AI Assistant

Personal AI assistant that analyzes your real-time sensor data and answers questions about water quality parameters. Available 24/7 for logged-in users.

Anomaly Detection

Utilizes statistical methods to automatically detect unusual patterns and potential issues in water quality data.

NEW: AI Assistant Feature

Your Personal Water Quality AI Assistant

Meet your intelligent water quality companion! Our AI assistant analyzes your real-time sensor data and provides instant, personalized insights about your water quality parameters. Available 24/7 through the floating avatar when you're logged in.

  • Real-time analysis of your sensor readings
  • Natural language explanations of water quality parameters
  • Personalized safety recommendations
  • Instant responses to your water quality questions
  • Contextual insights based on your specific data
  • Available through convenient floating avatar interface
TensorFlow.js Machine Learning Implementation

Browser-Based Neural Networks for Water Quality

Our system implements sophisticated LSTM neural networks using TensorFlow.js that run entirely in your browser. The models use multi-layer architectures with dropout regularization to prevent overfitting, analyzing historical sensor patterns to generate accurate predictions with statistical confidence intervals.

  • LSTM Neural Networks: Specialized for time-series water quality forecasting
  • Browser-Based Processing: No server required, complete privacy protection
  • Adaptive Learning: Models improve accuracy with more training data
  • Confidence Intervals: Statistical uncertainty quantification for predictions
  • Real-time Updates: Automatic model retraining with new sensor data
  • Multi-Parameter Support: Individual models for pH, temperature, TDS, conductivity, and turbidity

Explore our water quality monitoring system

Access the dashboard to view the monitoring interface and explore the features we've implemented.