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This final-year internship centers on building a data and AI tool that analyzes a large history of software test campaigns, flags redundant, obsolete or unstable tests, and recommends which tests to run in commit, nightly or release pipelines. The intern works with test-execution and CI data using Python, NLP and LLM methods, alongside development and validation teams.