FloodSense
An AI-powered flood risk intelligence platform built for Bangladesh — winner of the Xylem Global Student Innovation Challenge 2025.
Visit Project →On This Page
The Mission
FloodSense was born from a personal tragedy — the loss of a friend in the 2024 Bangladesh monsoon floods. The mission is simple: use AI and real-time data to give vulnerable communities early warning before floodwaters arrive.
The platform won the Xylem Global Innovation Challenge 2025 and multiple other awards, representing Bangladesh on international stages.
Awards & Recognition:
- Winner — Xylem Global Innovation Challenge 2025
- Bronze — Innovation Worldcup Bangladesh 2025
- Finalist — FastFlowup Flowtank
- Semi-finalist — Orange Corners
- Nationally Nominated — Future Port Award
How It Works
01 — Sensor Data
IoT sensors collect real-time rainfall, soil saturation, and weather data from vulnerable regions.
02 — Community Input
Reports from local communities and emergency responders supplement sensor data for better accuracy.
03 — AI Models
Machine learning algorithms process multi-source data to generate hyperlocal flood risk predictions.
04 — Early Warning
Real-time alerts sent to vulnerable communities with block-level flood risk predictions.
Website Features
Impact Storytelling — A narrative-driven landing page that communicates the mission and urgency through compelling copy and visuals.
Awards Showcase — Dedicated section highlighting competition wins and recognition, building credibility for partners and investors.
Team Profiles — Meet the team section with individual profiles, building trust and human connection with the mission.
Dashboard Integration — Linked to a separate web application with real-time flood monitoring data, user authentication, and admin controls.
Related Projects
Want to build something similar? Get in touch.