Development of an AI-Driven Content Authorship Verification Platform for Educational Institutions

Educators face challenges in quickly and accurately determining whether student submissions are authored by humans or generated by AI tools. Existing methods are time-consuming or insufficient for large volumes of content, risking oversight of AI-generated work and undermining assessment integrity.

A mid-sized educational organization or online learning platform seeking to enable educators to verify the originality of student submissions efficiently.

• Develop a platform capable of rapidly assessing whether a given text is produced by a human or generated by AI within minutes.
• Enable granular analysis of documents to identify AI-generated segments at the paragraph level.
• Provide historical tracking of analyzed documents with capacity for up to 1000 records.
• Create an intuitive, user-friendly interface supporting multiple input options (typing, pasting, document upload in various formats).
• Implement administrative functionalities for multi-user management, organization creation, and user access control.
• Achieve positive feedback regarding usability and effectiveness, facilitating improved evaluation processes in educational assessment.

• Multiple text input options: direct typing, pasting, or uploading documents in formats such as DOC, DOCX, and TXT.
• AI Generated Score: an aggregated score derived from multiple AI detection models indicating the likelihood of content being AI-generated.
• Granular Probability Chart: visual representations displaying paragraph-level AI likelihood percentages.
• Document History: storage and retrieval of up to 1000 previously analyzed documents for review and audit purposes.
• Admin Panel: user management features allowing creation of multiple users, organization setup, and access rights configuration.
• Onboarding Guide: a streamlined, step-by-step onboarding process to ensure ease of use for first-time users.

• AI models and prediction engines for content analysis
• Document upload and management systems supporting DOC, DOCX, TXT formats
• User authentication and authorization systems
• Logging and monitoring tools for system performance and usage insights

• System should process analyses within minutes to ensure quick feedback for users.
• Scalability to support increasing number of users and documents, with storage capacity for at least 1000 document records.
• High security standards for user data and access control, including encryption and role management.
• Regular updates and maintenance routines to ensure platform stability and accuracy of AI detection models.

The implementation of this platform is expected to significantly improve the efficiency and accuracy of content verification processes for educational professionals. It aims to provide rapid, detailed analysis results, reducing manual review time, and preventing academic dishonesty. The platform's adoption could enhance assessment integrity, improve educator confidence, and create a competitive advantage by enabling scalable, reliable AI content detection.