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MilkBasketHackathon

BPM2 is a static recommendation system made using Bayesian Popularity Ranking which would be dynamic on supplying real time data Recency is an RFM analysis table giving customer ids in priority to provide offers to Persuade is an RFM analysis table giving customer ids to persuade for a subscription cust_all provides a comprehensive RFM analysis for the user to derive insights There is a product to product recommender in the notebook, about which is mentioned in the last cell There is an LSTM Model in the notebook for time series analysis which could not be trained due to lack of GPU resources.

Python Django Backend App deployment -

Install django on your local machine Install dependencies Cd milkbasket run - python manage.py runserver This will live the APIs

React Native App deployment

Cd mbapp Change base url in React Native app Install dependencies run - expo start