AI-Powered Mobile Apps with MIT App Inventor
Course Description
Ever dreamed of creating your own magical AI mobile app that can “understand what’s in a photo,” “chat and respond to you,” “generate stories or images,” and even “alter voices for deepfake-like effects”? No need to write any complicated code! Using simple drag-and-drop blocks and MIT’s official AI tools, you can easily add powerful machine learning, generative AI, speech recognition, and more to your Android apps!
The MIT App Inventor AI-Powered Apps Development course is specially designed for students curious about AI and programming — perfect for complete beginners with zero experience up to those with some foundation. Follow the instructor step by step, and you’ll learn to:
- Use MIT’s latest official AI extensions and components (such as Personal Image Classifier, Look extension, ChatGPT/Gemini integrations, DALL-E image generation, Facemesh facial recognition, and more) to quickly incorporate popular AI features like image classification, object detection, voice interaction, text/image generation, and beyond.
- Build super practical and super cool AI projects, for example: custom image recognizers (train AI to identify pets or trash), generative story robots (StoryGPT), AI chat therapists, Fake Voices voice-changing apps, facial filter cameras, Alexa-style voice assistants, reinforcement learning games (like Tame the Dog), and many others.
- Grasp core AI concepts: How does machine learning “learn” from examples? How do generative AIs like ChatGPT and Gemini work? What are the ethics and risks of AI, such as deepfakes?
- Design lively app interfaces from scratch — adding cameras, microphones, sensors, canvases, text-to-speech, and more to make your creations highly interactive.
- Complete your very own AI portfolio projects and share them with classmates, family, or even explore more advanced topics further!
| # | Learning Outcomes | Key Features (Based on MIT AI with App Inventor Resources) |
| 1 | Build AI-powered mobile apps using only drag-and-drop blocks | MIT App Inventor block-based platform with official AI extensions and components |
| 2 | Train and use custom machine learning models for image classification | Personal Image Classifier (PICaboo), Look extension for teaching AI with examples |
| 3 | Integrate generative AI for text and image creation | Connections to ChatGPT, Gemini (e.g., StoryGPT), DALL-E for generating stories, images, responses |
| 4 | Create conversational AI and voice-based apps | Speech recognition, Text-to-Speech, Conversational AI (e.g., Alexa skills, Voice Calculator, Therapist Bot) |
| 5 | Explore advanced AI concepts like facial recognition and reinforcement learning | Facemesh for facial filters/recognition; Reinforcement learning projects (e.g., Tame the Dog) |
| 6 | Design interactive user interfaces with AI features | Camera, microphone, canvas, sensors integration for fun apps like Fake Voices, GenAI Doodle |
| 7 | Understand AI basics, ethics (e.g., deepfakes), and real-world impact | Lessons on how machines learn, model training, ethical discussions in units like Fake Voices |
| 8 | Complete hands-on projects and build a personal AI portfolio | Step-by-step tutorials leading to shareable apps; suitable for beginners to intermediate levels |