AI-Based Urban Flood Risk Prediction System

Domain

Smart Cities and Urban Innovation

Problem Title

AI-Based Urban Flood Risk Prediction System

Problem Statement

Urban areas frequently experience sudden flooding due to heavy rainfall and rising water levels. Most existing flood management systems are reactive and lack AI-based early prediction mechanisms. There is a need for a smart system that can analyze environmental parameters and predict flood risk in advance to support proactive disaster management in smart cities.

Proposed Solution

This project uses Machine Learning to predict flood risk based on environmental parameters such as:

• Rainfall
• Temperature
• Humidity
• Water Level

The system classifies flood risk as LOW or HIGH using a trained ML model and provides predictions through a Streamlit web application.

Tech Stack

• Python
• Pandas
• Scikit-learn
• Streamlit
• Matplotlib

How to Run the Project

1. Install required libraries: pip install -r requirements.txt

2. Run the application: python -m streamlit run app.py

Project Structure

• train_model.py → Trains the ML model
• app.py → Streamlit web application
• flood_model.pkl → Saved trained model
• requirements.txt → Required libraries
• README.md → Project documentation