ETDs950-960 Computer Vision Project

Here are a few use cases for this project:

1. Structuring Academic Documents: This computer vision model can be used by academic institutions or online learning platforms to automatically structure and categorize vast amounts of academic documents. Features such as chapters, headings, tables, and figures can be quickly identified for better organization and navigation of the content.

2. Accessibility Enhancement: The model can be used to design applications for visually impaired users. By identifying and verbalizing different elements like paragraphs, page numbers, or captions, these applications can improve the user's understanding of the document's structure and content.

3. Document Search Engine: The model could assist in building a sophisticated document search engine that allows users to search specific elements within academic papers such as tables, equations, formulas, or references. This adds a layer of precision to the search and makes the search process more efficient.

4. Content Management Systems: Companies that manage large amounts of educational or scientific literature can use this model to standardize and sort their content. This includes identifying key sections of the documents for easier reference in the future.

5. Content Recommendation Engine: Content recommendation systems could use this model to better understand the content of documents for more relevant suggestions. For example, by identifying paragraphs and chapter headings, the model can outline the document's main topics and use this information to recommend similar content.