Back close

IoT-based System for Real-time Infrastructural Resilience Monitoring

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Maneesha Vinodini Ramesh
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.

Related Projects

Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Interpretable Decision Support Model for Breast Cancer Diagnosis
Interpretable Decision Support Model for Breast Cancer Diagnosis
Neural Network Modeling for Stability Analysis of Fibre Reinforced Composite Laminate Plates
Neural Network Modeling for Stability Analysis of Fibre Reinforced Composite Laminate Plates
ClePa – A robot for cleaning staircase steps
ClePa – A robot for cleaning staircase steps
Role of miRNAs in cancer and modulation of oncogenes by natural products
Role of miRNAs in cancer and modulation of oncogenes by natural products
Admissions Apply Now