10 questions for the user to give us their input, Option 1: the user answers will fall in categories straight related to the data from Google Reviews API, it will be ETL and then feed the ML to finally give 3 best recommendations nearby. Option 2: random personality questions so we have the ML model learning what personality goes with the final 3 recommendations.
10 questions for the user to give us their input, Option 1: the user answers will fall in categories straight related to the data from Google Reviews API, it will be ETL and then feed the ML to finally give 3 best recommendations nearby. Option 2: random personality questions so we have the ML model learning what personality goes with the final 3 recommendations.