AI-Driven Environmental Engineering: From Pollution Prediction to Sustainable Resource Management
To introduce students to the practical applications of artificial intelligence and machine learning in predicting environmental pollution patterns and designing sustainable, data-driven resource management solutions.
Event information
| Date | 2026-09-09 to 2026-09-09 |
|---|---|
| Academic Year | 2026-2027 |
| Department | B.Tech. Biotechnology |
| Venue | Thomas Alva Edison Hall |
| Participants | 155 |
Related SDGs
SDG 4 - Quality Education
SDG 13 - Climate Action
Description and outcomes
Key outcomes
Participants will gain a foundational understanding of how to implement AI-driven predictive models and digital tools for real-time environmental monitoring and sustainable engineering decision-making.