Warp PI

WarpPI Calculator, Step-by-step algebra calculator for Raspberry Pi. (abandoned project)

Internet of Things (IoT)JavaApache-2.0

Abstract

Warp PI is an open-source Internet of Things (IoT) project. WarpPI Calculator, Step-by-step algebra calculator for Raspberry Pi. (abandoned project). Java 25 is required. The Raspberry Pi hardware build targets the project's Java 25 ARMv6 Buildroot image. It is built using Java, Raspberry Pi. The complete source code is publicly available on GitHub under the Apache License 2.0, making it a useful reference for students building an Internet of Things (IoT) mini project or final-year project.

1. Introduction

Java 25 is required. The Raspberry Pi hardware build targets the project's Java 25 ARMv6 Buildroot image. GPIO uses the Java 25 Foreign Function and Memory API to map /dev/gpiomem directly. The GPIO path does not use Pi4J or a project JNI library. The keypad's BCM GPIO lines 13, 16, 19, 20, 21, and 26 must be dedicated to WarpPI. The executable hardware JAR enables native access in its manifest; class-path launches must pass --enable-native-access=ALL-UNNAMED.

This preview has been built using TeaVM: a JVM made in javascript. Obviously it runs slower than the original. https://local.cavallium.it/calculator/

2. Objective

WarpPI Calculator, Step-by-step algebra calculator for Raspberry Pi. (abandoned project)

This project demonstrates how Java, Raspberry Pi can be applied to a real-world Internet of Things (IoT) problem.

4. Technology Stack

JavaRaspberry Pi

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

  • JDK 11 or later
  • Maven / Gradle
  • IntelliJ IDEA, Eclipse or Android Studio
  • Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/cavallium/WarpPI.git
cd WarpPI

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

  • Add a mobile dashboard using Blynk or Firebase
  • Store readings in a cloud database for history charts
  • Add alerts via SMS / Telegram when thresholds are crossed

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

  1. Which microcontroller / board and sensors are used and why?
  2. How does the device send data (Wi-Fi, MQTT, HTTP, Bluetooth)?
  3. Where is the sensor data stored and visualised?
  4. How is power consumption managed?
  5. How would you secure the device and its communication?

9. Source Code & License

This project is developed by cavallium and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.

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