Database Driven Teachable Reporting Agent

I need a teachable agent that can ingest live numerical data coming straight from my database records, learn from it, and automatically turn those figures into clear, well-structured reports. The agent’s sole purpose is reporting, not prediction or trend monitoring, so accuracy and readable formatting matter more than fancy forecasting. Scope of work • Connect securely to the existing SQL database (read-only access) and pull the required numerical fields. • Enable incremental learning so the agent stays current as new rows are added. • Design the reporting logic: aggregate, summarise, and present key metrics with any charts or tables the data justifies. • Package everything—code, trained artefacts, and a short setup guide—into a single deliverable file ready for hand-off on or before 26 June. Acceptance criteria 1. Reports reflect the latest database state at run-time. 2. All calculations trace back to the original numeric values without manual intervention. 3. Final file runs locally on a standard Python stack (pandas, SQLAlchemy and any lightweight ML library are fine) with a one-command start. Feel free to recommend additional libraries if they streamline the workflow, provided the final hand-off stays simple and self-contained.

Project ID: 40529287