EquiUX

Inspiration

The inspiration behind this project came from the UX designing course I'm learning right now, where I came across responsive web design and assistive technologies. This inspired the idea of an adaptive web design, which automatically changes the dynamic of the user experience. I wanted to create a system that enhances accessibility by offering AI-powered personalization, alternative navigation options, and real-time content simplification.

What it does

EquiUX is an AI-powered accessibility platform that personalizes user experiences based on their needs. It features:

AI-Powered Personalization – Auto-adjusts font size, contrast, and layout for better readability.
Speech & Gesture Control – Enables alternative UI navigation for users with mobility impairments.
Real-time Content Simplification – Summarizes complex text for easy understanding.
Emotion-Aware UX Adjustments – Detects user frustration and adapts the interface.
AI-Powered Navigation – Assists disabled users with intelligent content structuring.

How we built it

We couldn't built it because I was unable to sign up on azure platform despite talking with the team multiple times but this was the structure for building it:

Frontend: React (for UI development) with accessibility-first design principles.
Backend: FastAPI for handling requests and integrating AI models.
AI Models: Leveraged GPT-4 and OpenAI Whisper for text processing and speech recognition.
Vector Database: FAISS/Pinecone for storing and retrieving personalized accessibility settings.
Cloud & Deployment: Used Azure AI services to enhance AI functionalities and deploy the platform.

Challenges we ran into

Ensuring Seamless Adaptability: Making UI changes dynamic and fluid without disrupting the user experience was a technical challenge.
Integrating Emotion Detection: Implementing real-time emotion-aware UI adjustments required fine-tuning models to minimize false positives.
Cross-Device Compatibility: Ensuring EquiUX functions effectively across different devices and screen sizes.
Balancing AI Personalization and User Control: Providing users with autonomy while allowing AI to assist without being intrusive.

Accomplishments that we're proud of

Successfully built a prototype that adapts to users' needs in real time.
Developed an intuitive UI that enhances accessibility for diverse users.

What we learned

The importance of user-centric design in accessibility-focused projects.
How to integrate AI models into UI/UX workflows for a seamless experience.
Effective ways to optimize web accessibility beyond standard compliance.
The challenges and ethical considerations in designing emotion-aware AI systems.