AI-Driven Automation in Modern Education Systems.

🟢 Overview

Two AI-powered solutions were developed to automate academic tasks:

Question Paper Generation System
Answer sheet Evaluation Platform

These systems were designed to reduce manual workload, improve accuracy, and offer customization for educators, streamlining academic workflows with AI integration.

🔴 Challenges Faced

Several challenges arose during the development process:

Relevance & Difficulty Levels: Ensuring generated questions align with the syllabus and maintain appropriate difficulty.
Hand-Drawn Figure Extraction: Accurately processing hand-drawn figures in examinee answers posed a significant challenge, especially with varying quality.
Customizable Templates & Editing: Balancing flexibility with ease of use for creating exam papers.
Fair Evaluation of Subjective Answers: Developing a system that fairly evaluates long-answer and essay-type questions.
Export Formats: Supporting multiple formats (PDF, DOCX, JSON).
Usability for Non-Technical Users: Ensuring examiner could use the systems without technical expertise.

🟡 Solutions Implemented

AI-Based Question Paper Generation
- Customized UI for Inputs: Simple interface for examiner to customize subjects, grade levels, and exam sections.
- Prompt-Based Question Generation: examiner can modify questions via text prompts with LLMs like OpenAI/Groq.
- Export & History Tracking: Easy exports in PDF and other formats, with generation history tracked for reference.
Intelligent Paper Generation & Evaluation
- Syllabus Upload & Question Paper Generation: Based on the provided syllabus, the AI generates relevant exam questions aligned with the content.
- Template-Driven Question Paper Creation: Supports multiple types of question formats, with DOCX/JSON support for customization.
- AI-Based Evaluation: Scanned answer sheets are evaluated with feedback and scoring provided automatically.
- Export Support: Supporting multiple formats (PDF, DOCX, JSON).

🟢 Results Achieved

80% Reduction in Manual Effort: Significant reduction in the time spent on paper creation and grading.
Accurate, Syllabus-Aligned Questions: Ensured contextually relevant questions using semantic search.
Fair & Accurate Evaluation: AI-based grading for subjective answers delivered consistent, unbiased results.
User-Friendly & Customizable: Full control for educators with minimal technical involvement.

🔚 Conclusion

These AI-driven solutions successfully automated critical academic tasks, improving efficiency and customization. However, challenges remain in hand-drawn image extraction from examinee answer sheets. Further improvements in image recognition and processing are needed to accurately assess diagrams and sketches. This challenge is being addressed with advanced computer vision models for better extraction and evaluation.

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