Computer Vision based PDF Accessibility

Closed
Vision AI
Toronto, Ontario, Canada
Mei Chen
Employer
(5)
Project
Academic experience or paid work
120 hours of work total
Learner
Anywhere
Advanced level

Project scope

Categories
Artificial intelligence
Skills
visual impairment education computer vision
Details

The main goal for the project is to develop a computer vision-based solution that can make PDF documents accessible for individuals with visual impairments. This will involve several different steps for the learners, including:


- Understanding the existing PDF accessibility standards and guidelines.


- Developing a computer vision algorithm to extract text and other content from PDF documents.


- Integrating the extracted content into a format that is accessible for individuals with visual impairments.


- Testing the solution with a diverse set of PDF documents to ensure accuracy and effectiveness.


Deliverables

By the end of the project, learners should complete the following tasks:


- A report detailing the existing PDF accessibility standards and guidelines.


- A computer vision algorithm that can accurately extract text and content from PDF documents.


- A prototype of the solution that demonstrates the integration of extracted content into an accessible format.


- Testing results and improvements based on feedback from individuals with visual impairments.



Final deliverables should include:


- All source code and documentation related to the developed solution.


- A comprehensive report outlining the design process, testing results, and potential future improvements.


Mentorship

You will have access to staff time, the creative directive to use innovative tools.

We will have lots of coworking time to answer questions and an optional office downtown Toronto with 24hour access.

About the company

Company
Toronto, Ontario, Canada
2 - 10 employees
It & computing

We are an AI company focusing on ground breaking solutions for modern problems