Raleigh AI SolutionsRaleigh AI Solutions
Accessible AI Model Development
Develop AI Models with Built-In Accessibility to Ensure Inclusive User Experiences

The Challenge

AI systems often overlook accessibility features, which creates barriers for users with disabilities. Ensuring that AI models are designed with accessibility in mind is key to providing an inclusive experience for all users.

Our Approach: 5 Steps to Success

1

Accessibility Requirements Gathering

We begin by gathering accessibility requirements to ensure that the AI model we develop is designed with inclusivity at its core. This helps in setting clear goals for an accessible AI system.

2

Model Design with Accessibility Features

Our models are designed with features like screen reader compatibility, voice control, and other assistive technologies. We use tools like Dialogflow CX to create conversational AI that is accessible to everyone.

3

Development & Testing

We develop AI models using frameworks like TensorFlow, incorporating accessibility features from the ground up. We conduct thorough testing to ensure the models are usable by individuals with a range of abilities.

4

User Feedback & Iteration

We gather feedback from users with disabilities to understand the real-world performance of our models. This feedback is used to refine and improve the accessibility of the AI systems.

5

Continuous Monitoring & Updates

Accessibility needs evolve over time, and so do our models. We continuously monitor the AI systems to ensure ongoing compliance with accessibility standards, updating them as new needs and technologies emerge.

Key Features

Accessibility requirements integrated into AI model design.

Use of assistive technologies like screen readers and voice control.

Real-world testing with users of different abilities.

Continuous monitoring and updates for evolving accessibility needs.

Technology Stack

Dialogflow CX

Dialogflow CX

TensorFlow

TensorFlow

Ready to Develop Accessible AI Solutions?