Early Flood Detection and Avoidance Using IoT

Year : 2025 | Volume : 03 | Issue : 02 | Page : 1 5
    By

    Pranjali Lavate,

  • Gayatri Patil,

  • Sandhyarani Suryawanshi,

  • Snehal Sabale,

  1. Student, Department of Computer Science and Engineering, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Maharashtra, India
  2. Student, Department of Computer Science and Engineering, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Maharashtra, India
  3. Student, Department of Computer Science and Engineering, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Maharashtra, India
  4. Professor, Department of Computer Science and Engineering, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Maharashtra, India

Abstract

This project presents an advanced flood alert system powered by IoT technology, designed to enhance public safety and minimize flood-related damage in high-risk areas. The system uses various sensors to keep track of environmental conditions, especially changes in water levels. These sensors are strategically placed in critical zones to detect early indicators of flooding, such as sudden increases in water level, surface runoff, and river overflow. The gathered information is sent to a main system, where it is examined to determine the possibility of a flood. An Android-based mobile application is used to instantly notify users when water levels reach dangerous thresholds. This early warning allows residents and emergency services to respond promptly minimize property damage and ensuring safety. The real-time nature of the system ensures constant monitoring, making it possible to react before situations escalate. Designed to be reliable, responsive, and user-friendly, this solution bridges the gap between environmental monitoring and community awareness. It empowers both individuals and authorities with timely information, helping them take preventive actions during critical moments. By leveraging IoT for disaster management, the system contributes to a more resilient and informed society, capable of facing natural hazards with greater preparedness.

Keywords: IoT, flood detection, advanced sensors, devices, ESP32, GSM, LoRa, technology

[This article belongs to International Journal of Data Structure Studies ]

How to cite this article:
Pranjali Lavate, Gayatri Patil, Sandhyarani Suryawanshi, Snehal Sabale. Early Flood Detection and Avoidance Using IoT. International Journal of Data Structure Studies. 2025; 03(02):1-5.
How to cite this URL:
Pranjali Lavate, Gayatri Patil, Sandhyarani Suryawanshi, Snehal Sabale. Early Flood Detection and Avoidance Using IoT. International Journal of Data Structure Studies. 2025; 03(02):1-5. Available from: https://journals.stmjournals.com/ijdss/article=2025/view=232894


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Regular Issue Subscription Review Article
Volume 03
Issue 02
Received 25/03/2025
Accepted 02/05/2025
Published 24/10/2025
Publication Time 213 Days
142

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