The science under the hood
A six-phase research roadmap that powers AquaAI today — and the bold vision for tomorrow.
Phase 01
Hybrid ML Architecture
Combined Random Forest, XGBoost and ANN with weighted ensemble voting.
Phase 02
Predictive Analytics
Time-series forecasting of WQI 6 hours ahead using LSTM features.
Phase 03
Real-time Monitoring
WebSocket sensor stream with sub-second dashboard updates.
Phase 04
Explainable AI
SHAP-based attribution surfaces top contributing parameters.
Phase 05
IoT Integration
Edge devices report to cloud through MQTT brokers.
Phase 06
Smart-City Compatibility
Open APIs for municipal water dashboards & alerts.
What's next
Drone Monitoring
UAV-borne sensors for unreachable water bodies.
Satellite Analytics
Hyperspectral imagery for region-wide pollution mapping.
Deep Learning Models
Vision transformers for water-quality estimation from imagery.
Native Mobile App
Offline-first reporting and personalized alerts.
Blockchain Records
Tamper-proof environmental compliance ledgers.
Government Dashboards
Smart-city integration for proactive policy.