Chatbot Test Project
Build or test a simple chatbot, then document what it handles well and where it struggles.
Bronze AI guide
Bronze AI should feel practical and enjoyable. The best projects are simple enough to finish, but rich enough for the student to explain progress.
Use this orientation to match the advice with the student's DofE Skills section decision.
Parents and students comparing this route for a DofE Skills section activity.
These project directions match the kind of visible, explainable work Bronze students can use for Skills section progress.
Build or test a simple chatbot, then document what it handles well and where it struggles.
Collect simple image examples and train a classifier for gestures, objects or signs.
Train an accessible image model and compare results when the examples or classes change.
Use prompt engineering to create a small image, slide, audio or video-style showcase with reflections.
A project becomes stronger evidence when the student can explain the learning journey, not just show the final output.
For example: learn how image classifiers work or improve prompt quality over several weeks.
Save screenshots, prompt versions, model tests and short notes on what changed.
Finish with a short showcase that explains what the student learned about AI behaviour.
A good Bronze project is beginner-friendly, visible and explainable, such as a chatbot test, image classifier, Teachable Machine model or GenAI showcase.
No. Bronze can start with visual tools and AI concepts. Python is more relevant for advanced Gold machine learning.
Quality matters more than quantity. A few well-documented project milestones can be stronger than many unfinished experiments.
View the Bronze AI course to see the full beginner-friendly pathway.