AI Helped Me Build a Redis-Powered IoT Anomaly Detector. In 1 Day.

This is a submission for the Redis AI Challenge: Real-Time AI Innovators.

What I Built

While vide-coding, I made a Redis-Powered IoT Anomaly Detector in one day." It demonstrates a real-time data processing pipeline designed for an Internet of Things (IoT) sensor, using Redis Streams and Redis Time Series. The system ingests continuous sensor data streams, detects anomalies through a threshold-based logic, stores data efficiently for historical analysis, and raises alerts for critical events in real time.

Demo

https://github.com/SebastianKibiriti/redis-iot-anomaly-detector-mvp-withGemini

How I Used Redis 8

It uses Redis Streams for real-time data ingestion and inter-service messaging, and Redis Time Series for optimized, long-term storage and analysis. Two key Redis features that are central to Redis 8's capabilities for IoT and time-series applications.