Why choose this project topic?
A study of finding diagrams from a licensed collection using text descriptions gives this topic a concrete purpose beyond simply adding an AI model. Comparing recall at ten, false matches and query latency helps a student demonstrate capability, inspect failure cases and explain where human review or a simpler method remains necessary.
How effectively can multimodal study resource retrieval support finding diagrams from a licensed collection using text descriptions, evaluated using recall at ten, false matches and query latency?
Choose a feasible licensed or synthetic dataset and available compute budget, then agree a narrow evaluation for finding diagrams from a licensed collection using text descriptions with your supervisor.
Proposed project objectives
- 01Define the task, evidence and evaluation assumptions for finding diagrams from a licensed collection using text descriptions.
- 02Build text and image embeddings, compare retrieval with keyword metadata and review queries involving visually similar but different diagrams.
- 03Measure recall at ten, false matches and query latency against a stated baseline and analyse failure cases.
A suggested research approach
Build text and image embeddings, compare retrieval with keyword metadata and review queries involving visually similar but different diagrams. Check dataset permissions and keep evaluation examples separate from model development. Record model versions, prompts or training settings, then compare recall at ten, false matches and query latency using repeatable runs and retain incorrect outputs for a transparent limitations discussion.
What you will need
- Licensed diagram collection
- Reviewed text queries
- Permitted embedding models
Keep your project scope clear
Visual similarity does not establish that a diagram supports a scientific claim. Generated project writing does not include a trained or deployed AI application.
Artificial Intelligence project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3System Analysis and Design
- Chapter 4System Implementation and Testing
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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