MIT App Inventor for AI and IoT

Low-code development tools are revolutionizing the way mobile and IoT applications are created, especially for projects involving embedded hardware and AI-assisted functions. The new Elektor book MIT App Inventor for AI and IoT delves into how MIT App Inventor’s visual programming environment can be utilized to develop Android applications while interfacing with platforms like Raspberry Pi Pico W, Raspberry Pi 5, Arduino UNO R4 WiFi, and ESP32.

Authored by Dr. Dogan Ibrahim, this 389-page full-color book takes a hands-on approach to combine mobile app development, artificial intelligence, and IoT. Readers are guided on creating interactive mobile applications, connecting them to hardware, and exploring AI-powered features without the need for prior programming experience.

Instead of grappling with complex coding syntax, the book leverages MIT App Inventor’s visual block-based programming system, making the content easily digestible for beginners, students, makers, and educators.

The drag-and-drop Designer interface of MIT App Inventor streamlines mobile app development for novices.

AI-powered mobile applications

The initial chapters lay the groundwork for app development, covering aspects like user interfaces, multimedia functions, speech recognition, GPS, camera integration, and smartphone sensors. Subsequently, readers progress to more advanced projects involving wireless communication, embedded hardware, and artificial intelligence.

One of the book’s chapters focused on AI showcases voice-controlled assistants, AI chatbots, and image-recognition applications developed using MIT App Inventor.

These projects illustrate how AI services can be seamlessly integrated into practical mobile applications.

Explore an AI chatbot and image-analysis app crafted with MIT App Inventor.

Connecting smartphones to hardware

The chapters dedicated to hardware demonstrate the communication between smartphone apps and systems like Raspberry Pi Pico W, Raspberry Pi 5, Arduino UNO R4 WiFi, and ESP32 using Wi-Fi, Bluetooth Classic, and Bluetooth BLE.

Project examples include smartphone-controlled relays, environmental monitoring systems, voice-controlled LEDs, wireless sensor applications, barcode-controlled systems, and IoT dashboards.

Throughout the book, screenshots, App Inventor block diagrams, and hardware illustrations aid in simplifying project replication. The blend of mobile development, AI, and IoT gives the projects a strong emphasis on connected electronics and rapid prototyping.

Experience smartphone control of Raspberry Pi Pico W and relay hardware via Wi-Fi.

Practical learning approach

With smartphone interfaces becoming increasingly prevalent in embedded and IoT projects, platforms like MIT App Inventor provide a more accessible pathway into application development and hardware connectivity.

Structured around hands-on learning, MIT App Inventor for AI and IoT amalgamates mobile app creation, AI functionalities, and embedded hardware projects through a series of practical examples aimed at fostering rapid experimentation and prototyping.