Create README.md

README.md

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+---
+language: en
+license: apache-2.0
+tags:
+  - sentence-transformers
+  - feature-extraction
+  - sentence-similarity
+  - education
+  - course-outcomes
+  - program-outcomes
+  - co-po-mapping
+datasets:
+  - custom
+pipeline_tag: sentence-similarity
+---
+
+# CO-PO Mapping Model
+
+## Model Description
+
+This model generates semantic embeddings for **Course Outcomes (CO)** and **Program Outcomes (PO)** to enable automated mapping and alignment in educational curriculum design.
+
+Based on the Sentence Transformers framework, this model captures the semantic relationships between course-level learning outcomes and broader program-level educational objectives.
+
+## Model Details
+
+- **Model Type**: Sentence Transformer (Embedding Model)
+- **Base Model**: `sentence-transformers/all-MiniLM-L6-v2` (or similar)
+- **Fine-tuned on**: Course and Program Outcome pairs
+- **Language**: English
+- **License**: Apache 2.0
+
+## Program Outcomes (Standard Engineering)
+
+The model is trained to map to these common Program Outcomes:
+
+- **PO1**: Apply knowledge of mathematics, science, and engineering fundamentals
+- **PO2**: Identify, formulate, and analyze complex engineering problems
+- **PO3**: Design creative solutions for engineering problems
+- **PO4**: Conduct investigations using research-based knowledge
+- **PO5**: Apply modern engineering tools and techniques
+- **PO6**: Apply reasoning for societal, health, safety, and legal issues
+- **PO7**: Understand environmental and sustainability impacts
+- **PO8**: Apply ethical principles and professional responsibilities
+- **PO9**: Function effectively in teams
+- **PO10**: Communicate effectively on engineering activities
+- **PO11**: Demonstrate engineering and management knowledge
+
+## Usage
+