QuickSight - Building Inclusive Accessibility Apps with Flutter and Python
Mission: Universal Access
QuickSight was developed out of a strong commitment to digital accessibility. The application aims to make the visual world more navigable for colorblind and visually impaired individuals by providing real-time color identification and image-to-text descriptions.
Technology Stack Rationale
- Flutter: Chosen for the frontend due to its excellent cross-platform capabilities. This single codebase efficiently compiles to both Android and iOS, maximizing the app’s potential reach to users who need it.
- Python (Backend/AI): The heavy lifting of image analysis and object recognition is handled by a Python-based backend. This separation allows us to use mature AI libraries for image-to-text and specialized vision tasks.
- Firebase/JavaScript: Firebase handles user authentication and any necessary cloud data storage, managed and integrated primarily through JavaScript bindings, making it a reliable, low-maintenance cloud service.
Impact
The design philosophy emphasized a clean, high-contrast, and intuitive user experience (UX) to ensure the app itself is usable by its target audience. QuickSight stands as a prime example in my portfolio of leveraging modern technology to achieve a meaningful social impact.