Please Provide a sample similar to this.

def filter_restaurants(restaurants, budget, location, distance, stars):

filtered_restaurants = []

for restaurant in restaurants:

if restaurant['budget'] = stars:

filtered_restaurants.append(restaurant)

return filtered_restaurants

restaurants = [ {'name': 'Sushi Palace', 'budget': 2, 'location': 'Downtown', 'distance': 3, 'stars': 4}, {'name': 'Miso Sushi', 'budget': 3, 'location': 'Midtown', 'distance': 5, 'stars': 5}, {'name': 'Noodle House', 'budget': 1, 'location': 'Downtown', 'distance': 1, 'stars': 3}, {'name': 'Udon Express', 'budget': 2, 'location': 'Uptown', 'distance': 7, 'stars': 4},]

budget = 2

location = 'Downtown'

distance = 5

stars = 4

filtered_restaurants = filter_restaurants(restaurants, budget, location, distance, stars)

print(filtered_restaurants)

I am looking for someone who is experienced in python. I need help creating an algorithm that will filter out unnecessary aspects from a list in order to show personalized recommendations for the customer based on whatever filters they input (budget, location, distance, stars, etc). for example, if we use the google API that will give us a list of options based on whatever the customer inputs. I could say , "Japanese restaurants", and it will find the Japanese restaurants in the area that I've selected. However, I want to be able to filter and choose from a list of personalized recommendations if I were to enter, "four stars, 5 miles, \$\$". I am not just looking for a recommendation algorithm that will supply its own suggestions. We have a list, I just need an algorithm that will filter the list if possible. If anyone is willing to help, I will upvote and leave a good review! If possible, I would like to be able to tweak it just a bit to also be able to use it for gas stations, hotels, points of interests, anything