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Project Ideas #273

@udithishanka

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@udithishanka
  • End-to-end data science pipeline builder

The agent could ingest a project spec (“build a churn prediction model for telecom data”), then plan tasks (data ingestion, cleaning, EDA, modeling, evaluation, deployment), spawn mtp agents for each, and track progress in files.
– Because deepagents supports spawning and file tools, your agent could produce artifacts at each stage, log results, write reports, update model code, and maybe even generate deployment scripts.

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