Automated CLO and Skill Generator Using NLP This project uses Natural Language Processing (NLP) and Large Language Models (LLMs) to automatically generate Course Learning Outcomes (CLOs) and relevant skill sets from course descriptions. It aims to simplify and standardize the curriculum design process by generating clear, structured outputs aligned with Bloom’s Taxonomy.
- Features
1.1 LLM-based CLO generation
1.2 Skill mapping: both technical and soft skills
1.3Custom training support for specialized datasets
1.4Compatible with various academic domains
- Workflow
2.1 Input: Course description provided by the user
2.2 Processing: The model identifies key concepts and maps them to outcomes and skills
2.3 Output: Structured CLOs, technical skills, and soft skills
- Tech Stack
3.1 Python
3.2 Transformer models (e.g., GPT-3.5)
3.3 Bloom’s Taxonomy verb mapping