Project-R.I.V.E.R.

R.I.V.E.R.

Real-time IoT-based Visualization and Early-warning for Resilience

ARCHIVED JavaScript 2025–2026

Archived Project R.I.V.E.R. flood monitoring and early-warning system, combining hardware, machine learning, databases, and web/mobile applications.

No longer maintained. Some functionality may no longer work.

Overview

R.I.V.E.R. was built as a Science and Technology Fair project. It monitors environmental conditions at upstream and downstream points along a waterway and tries to give communities advance warning before flooding happens. The system ties together physical sensor devices, a backend server, a PostgreSQL database, a machine-learning weather-prediction component, and separate web and Android interfaces.

Structure

android — Android application for civilian use.
back — Backend services, including the machine-learning components.
device / upstream, downstream — Physical IoT monitoring devices and the alarm-activation device.
front — Website frontend for data visualization.
middle — Middleware connecting and securing communication between components.

Technologies

JavaScript Node.jsExpress.jsAxiosPostgreSQLFirebasePythonPandasNumPyScikit-learnTensorFlowPM2ArduinoGSM/SIM modulesSensorsRelay moduleSiren

Results & limitations

Not intended to be considered production-ready software.
Security practices used during development were not production-grade.
Some components were tightly coupled; documentation was written for maintenance, not public distribution.