Sprint 2: Initial rule-based recommendation demo (personas + summary)#193
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srinikethreddy29 wants to merge 2 commits intoDataBytes-Organisation:mainfrom
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I have created a new YAML file reco_personas.yaml with shopper profiles such as student, parent, senior, health-conscious, and budget shoppers. I also updated trend_test_8.py so it can read these personas and generate recommendations using a small synthetic product list. There is also a summary option that shows how many items from each category each persona gets. This work is part of Sprint 2, where we needed to build multiple personas and show how they can drive a recommendation system. It is a simple demo using dummy data, just to prove the logic works. To run it, go into the Data Analysis folder and use the commands:
python trend_test_8.py --reco-demo # shows per-persona recommendations
python trend_test_8.py --reco-demo --reco-summary # adds category counts for each persona
This demo is synthetic only and does not touch real datasets in the Data/ folder. It does not change or break any other analysis scripts or backend/frontend code. If run without the --reco-demo flag, the script continues to work as usual (volatility, PED, etc.) and simply ignores this demo.
To run normal data analysis:
python trend_test_8.py #runs existing analytics (volatility, PED, outliers) and ignores demo.