The Challenge:
Laundry care labels are often filled with cryptic symbols that many people never learned to interpret. Misunderstanding these icons can lead to damaged clothes, frustration, and wasted time. The challenge was to create a tool that could quickly and clearly translate laundry labels into practical instructions, while remaining accessible to anyone unfamiliar with the system.
The Approach
LaundryBro uses an AI-powered image recognition model to identify laundry symbols from a photo of a care label taken on a mobile device. Once recognised, the symbols are translated into plain-language washing, drying, and ironing instructions. To increase accessibility, the same information is also converted into audio guidance through text-to-speech. The entire workflow is designed for deployment on mobile platforms, making the tool lightweight, fast, and available directly where it is most useful, at the moment of doing laundry.
What’s next
This project was experimental in nature and is currently archived. At the time it was ice boxed the following areas of improvement had been identified:
- Improving response time between image capture and response generation.
- Enhancing the naturalness of the audio output as the free model provided sounded robotic.
- Deployment in Google and Apple app stores.
Stack:
- Computer Vision: Gemini API for symbol recognition
- Audio: Gemini
- AI Model: Gemini Flash 2.5
- Hosting: Digital Ocean
- App: Built with FlutterFlow
