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AI/ML Internship Prep: Projects That Prove Real Ability
What hiring teams look for in AI interns and how to design projects that show depth.
9 min read
Start with a focused problem
Pick one applied domain: support automation, recommendations, or content classification.
Show model lifecycle
Include data prep, training, evaluation, and monitoring. A deployed demo helps a lot.
Readable metrics
Explain accuracy, precision/recall, and tradeoffs in plain language.
Package it
Publish a notebook plus an API endpoint, and add a short write-up.