
Developed core features for the Examguide assessment platform, focusing on document processing, automated exam generation, and user experience improvements. Leveraging JavaScript and Node.js, the work introduced robust OCR capabilities and integrated PDF and DOCX parsing to enable text extraction from diverse formats. The repository incorporated endpoints for generating and scheduling MCQ-based exams using the Gemini API, while ensuring strict JSON compliance in output. Session management was enhanced by extending JWT token lifetimes, reducing user friction. AI interaction guidelines were refined to improve clarity and engagement. The work demonstrated full stack development skills, emphasizing scalable backend architecture and seamless API integration.
In November 2025, Examguide advanced from foundational document processing to a capable, end-to-end assessment platform. Key features delivered include extended session persistence, robust document handling with OCR, and automated MCQ-based exam generation and scheduling. These workstreams collectively improve user experience, scalability, and assessment quality, while adhering to JSON standards and refined AI interaction guidelines.
In November 2025, Examguide advanced from foundational document processing to a capable, end-to-end assessment platform. Key features delivered include extended session persistence, robust document handling with OCR, and automated MCQ-based exam generation and scheduling. These workstreams collectively improve user experience, scalability, and assessment quality, while adhering to JSON standards and refined AI interaction guidelines.

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