Artificial Intelligence & GenAI · Document and image analysis

Document/Image Intelligence

Classify and extract insight from document or product images using multimodal models.

Capstone in Deep Learning & Computer Vision Engineering.

Recommended effort30 hoursCourse levelAdvancedSuggested teamIndividual or team of 2-3

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The project brief

The business challenge

Document and product images need a multimodal workflow whose classification and extracted insights can be compared with an evaluation set.

Shared method: define the requirement, design and build the solution, then test and document the result.

Project brief

Test scenarios

Use these scenarios to plan the project review. They describe intended checks, not completed learner results.

01 · Test scenario

Image classification

Compare predicted document or product-image classes with the evaluation labels.

02 · Test scenario

Insight extraction

Compare extracted insights with the document or image used as input.

03 · Test scenario

Prototype deployment

Run the prototype using the deployment notes and record any failed evaluation cases.

Inside the working solution

What you will build

01Document or product image classification
02Multimodal insight extraction
03Evaluated prototype with deployment notes

Your final submission

What you will present

Multimodal prototype
Evaluation set
Deployment notes

Technology workspace

The tools behind the build

Review the tools and skills used in this project brief.

Python

Data processing, model logic and backend automation

PyTorch

Prototype and train neural networks with flexible model code

Transformers

Use Transformers within guided implementation, testing and portfolio workflows

Multimodal model API

Use Multimodal model API within guided implementation, testing and portfolio workflows

Project brief

Acceptance criteria

Review the prototype against the evaluation examples and deployment notes.

The multimodal prototype performs the stated classification and extraction task.
The evaluation set records expected and actual results.
Deployment notes describe how to run the prototype and its limitations.

Questions about this project

Document/Image Intelligence FAQs

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Who is the Document/Image Intelligence project suitable for?+

The associated course is taught at advanced level. Review its prerequisites before choosing this capstone. An adviser can help you confirm the appropriate starting point.

Which tools and skills are used?+

The project brief uses Python, PyTorch, Transformers, Multimodal model API. Confirm the selected stack with admissions when choosing a programme.

Is mentor guidance included?+

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Project module and tool breakdown
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