ReD Brainstoming 1

3rd may 2022

Points:

-Promising frequent customers and logging data(harini)

-Social media feedbacks/review (ml integration) (snekha)

-Predicting user’s choice of food/restaurant using reviews(ml work)

-Student restaurant ratio /user choice guessing /if wrong guessing again /min 1000Rs to get prediction

-Predicting food choices based on a single food item(sivaraam)

-Kact bot 100 questions samples: top 5 restaurants at this cost range restaurants near a particular location restaurants giving offers

-Already known restaurants connections(vikram)

-Seasonal food prefernces percentages(ml) (sanjju)

-Tamizhai integration

-Students genuine feedback audio /private(Anonymous) (sanjju)

-Review classifier /supporter,enemyy,general (ml) /general review/okay with false positive

-Festivals and discounts

-Restaurants /prev restaurants offers suggestions (sivaraam)