Arduino Data Anomaly Detector Kit — Real-Time Sensor Chart with Outlier Alerts

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Detect subtle outliers in temperature and humidity streams before they corrupt your dataset — without a PC. This kit lets you build a self-contained monitoring station that continuously samples the DHT22, applies a rolling z-score calculation, and plots instant red-highlighted anomalies on a vibrant 1.8-inch TFT screen. Every reading is timestamped and saved to a microSD card for later analysis, making it a powerful tool for CBSE data science projects, college mini-projects, or hackathon proof-of-concepts.

What You'll Build

You'll assemble a deployable sensor unit that tracks ambient conditions second by second. The TFT draws a scrolling chart of temperature or humidity; whenever a value deviates more than 2 standard deviations from the rolling mean, that data point turns red on the chart and an alert is triggered. Simultaneously, the DS3231 RTC stamps each record accurately, and the microSD module stores the entire session. By the end, you will have a portable device that flags environmental anomalies in real time — exactly what process monitoring or lab experiments demand.

What You'll Learn

• Implement a rolling z-score algorithm for live outlier detection
• Interface and calibrate the DHT22 for stable temperature and humidity readings
• Drive a color TFT display (ST7735) to plot dynamic scrolling charts
• Log timestamped sensor data to microSD using the DS3231 real-time clock

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11–12 students exploring data science electives will find the real-world anomaly detection approach perfect for practical records. B.Tech ECE/EEE second-year learners can use it as a self-contained mini project that covers sensors, statistics, and displays. ATL Tinkering Lab mentors and Smart India Hackathon participants will appreciate the ready hardware stack for rapid prototyping of IoT monitoring modules — no need to debug individual component quirks.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.