IoT-based System for Real-time Infrastructural Resilience Monitoring
This project focuses on enhancing infrastructural resilience in landslide-prone areas through the application of Smart IoT systems. It involves the design and implementation of IoT systems integrating various sensors and utilizing advanced machine learning and deep learning techniques.
Key Objectives
- Investigate infrastructural resilience in landslide-prone areas.
- Design and develop IoT systems with a range of sensors.
- Apply advanced machine learning and deep learning techniques.
Expected Impact
The project aims to significantly improve early warning systems, leading to better landslide prediction and prevention measures, thereby enhancing overall infrastructural resilience in vulnerable areas.
