EduQuest AI: Automated question paper generation system leveraging GROQ API for high- speed NLP processing

Mallu, Hari Krishna and Tirumala, Srivathsa and Lodi, Abhiram Goud and Bandharam, Tharun Goud and Potla, Bhavya (2025) EduQuest AI: Automated question paper generation system leveraging GROQ API for high- speed NLP processing. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 655-662. ISSN 2582-8266

The AI-Powered Question Paper Generator is an advanced solution that automates exam paper creation using cutting-edge Natural Language Processing (NLP) models and the Groq API. It extracts content from uploaded syllabus documents and reference papers, processes the material with fine-tuned NLP techniques, and generates syllabus-aligned questions in diverse formats such as MCQs, short answers, and descriptive types. These questions are structured into professionally formatted PDFs using ReportLab, ready for distribution. Educators can customize assessments by specifying topics, question types, and difficulty levels, ensuring relevance and balance. The system offers a user-friendly interface, enabling seamless operation without requiring technical expertise. By intelligently analyzing the content, the AI model reduces manual effort, maintains consistency, and saves significant preparation time. Scalable across institutions, coaching centers, and e-learning platforms, this tool ensures accuracy, efficiency, and high-quality assessments. It also supports future expansion to multiple subjects, curricula, and languages. With intelligent automation and adaptability, this system revolutionizes assessment design, enhancing both educator productivity and the overall student learning experience.