FloodGuard

Inspiration

Every year, floods in Pakistan and other regions cause devastating damage to communities and infrastructure. I was inspired to create FloodGuard AI, a solution that predicts floods early and provides actionable alerts to save lives and help responders act faster.

What it does

FloodGuard AI is a flood prediction and alert system that:

Uses rainfall and river level data to classify flood risk (Low, Medium, High)

Provides real-time predictions via a Flask API

Simulates community alerts through a console-based notification system

Helps authorities and communities plan resources and response efficiently

How we built it

Data Simulation: Generated a dataset with rainfall and river levels to mimic historical flood patterns

Machine Learning: Trained a Random Forest Classifier to predict flood risk

Flask API: Built an endpoint to receive rainfall and river level inputs and return flood risk predictions

Alert System: Console demo that prints real-time simulated flood warnings

Project Structure: Packaged with README, requirements, and sample data for easy submission

Challenges we ran into

Simulating realistic flood data for training the model

Integrating the model, API, and alert system smoothly

Completing a working prototype under tight hackathon deadlines

Accomplishments that we're proud of

Built a fully functional prototype in Python with AI-based flood prediction

Created a Flask API for real-time predictions

Designed a console-based alert system demonstrating immediate risk notifications

Structured the project ready for deployment and hackathon submission

What we learned

How to train a machine learning model with simulated environmental data

How to build a REST API using Flask

How to design and integrate a full prototype combining AI, backend, and alerts

The importance of quick prototyping under time constraints

What's next for FloodGuard

Integrate live weather and river sensor data for real-time predictions

Expand alert system to SMS/WhatsApp notifications for actual communities

Develop a web or mobile dashboard for visualizing flood risk and relief coordination

Add drone or satellite imagery analysis for more accurate flood mapping

Built With

• api
• flask
• flask-machine-learning:-scikit-learn
• languages-&-frameworks:-python
• local
• numpy-model-persistence:-joblib-data-storage:-csv-(simulated-dataset)-tools-&-platforms:-console-simulation-for-alerts
• random-forest-classifier-data-handling:-pandas