BUILD SOMETHING YOU CAN EXPLAIN

AI Project Library

Go beyond a tutorial copy. Build a useful system, measure where it fails and turn your decisions into portfolio evidence.

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20 of 20 projects · Estimates are focused build hours, not guaranteed completion times.

IntermediateGenerative AI Engineer

Evidence-backed report drafting

Draft short reports from a controlled evidence pack, checking citations and refusing unsupported conclusions.

  • Python
  • JSON Schema
  • SQLite
  • pytest
  • Streamlit
BeginnerComputer Vision Engineer

Image intake quality gate

Reject unusable product photos, compare rules with an optional small classifier and test lighting-related failures.

  • Python
  • NumPy
  • Pillow
  • MediaPipe
  • pytest
IntermediateMachine Learning Engineer

AI learning resource recommender

Recommend useful learning resources from skills and goals, with cold-start handling and transparent ranking evaluation.

  • Python
  • NumPy
  • pandas
  • SQLite
  • FastAPI
AdvancedAI Engineer

Read-only text-to-SQL assistant

Answer questions over a fictional database with validated SQL, read-only permissions and explicit ambiguity handling.

  • Python
  • SQL
  • SQLite
  • FastAPI
  • SQL parser
IntermediateGenerative AI Engineer

Speech transcription evaluation lab

Compare transcripts with human references, separating word errors, critical terms, noise and processing time.

  • Python
  • Audio processing
  • Speech-to-Text
  • pandas
  • pytest

Build one project well.

Pick a scope you can complete, create a simple baseline, freeze a test set and write down what fails. A clear README, reproducible evaluation and thoughtful trade-offs are more useful than a long list of unfinished demos.

These are educational blueprints, not downloadable finished applications or hiring guarantees. Google documentation and GitHub references are labeled separately. API usage and optional cloud infrastructure may incur charges.