Detection Computer Vision Project

Here are a few use cases for this project:

1. Automatic Exam Grading: The "Detection" model can be used to automatically grade exams by identifying question boxes, answer choices, and boxes containing the correct answer key. This would speed up the process of grading while also minimizing errors and maintaining consistency in assessment.

2. Assisting Students with Disabilities: The model can help visually impaired students navigate through exams and answer sheets by identifying question and answer fields, then converting the detected content to an accessible format such as speech or braille.

3. Digital Study Guides: The "Detection" model can be used to automatically create digital study guides, flashcards, or quizzes from textbooks or lectures notes by identifying questions and their corresponding answers, organizing them into a structured format suitable for review and self-assessment.

4. Online Education Platforms: The model can be integrated into e-learning platforms to automatically analyze and tag exam questions and explanations when they are uploaded by instructors or content creators. This would streamline the organization of questions, facilitate searches, and help pair relevant explanations to exam questions for students using the platform.

5. Content Analysis in Educational Research: Researchers can use the "Detection" model to analyze large sets of educational materials, such as textbooks, worksheets, or online course content, in order to identify trends, commonalities or differences across subjects, levels, or regions. For instance, comparing the prevalence of certain question types or the distribution of answer choices in various educational materials.