AI Photo Interpreter is a React-based application that analyzes images using a pre-trained machine learning model and provides voice-based feedback for enhanced accessibility and user experience.
- Image interpretation using a ready-to-use AI model
- Voice output of generated descriptions via Text-to-Speech (TTS)
- Fast response time with minimal latency
- Simple and intuitive user interface
- The user uploads or captures an image
- The model processes the image and generates a textual description
- The description is converted to speech and played back to the user
- Both text and audio feedback are displayed in the interface
- React (frontend)
- Pre-trained image classification model:
@tensorflow-models/mobilenet, developed by Google - UI styling powered by Material UI for a clean and responsive design
- Interface language switching (Ukrainian and English)
- Light and dark themes
- Text-to-Speech API (Only English)
- Responsive design optimized for mobile, tablets and desktop devices.
This project offers a clean and user-friendly interface designed to support accessibility for users with low vision. It includes voice-based feedback. The app is built to provide a fast and intuitive way to interpret visual content, making it suitable for inclusive digital experiences.
If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the TS template for information on how to integrate TypeScript and typescript-eslint in your project.
