Recommendation System for Ingredient
Budget: ₹1,500 – ₹12,500 INR
Built a recommendation system for any restaurants mostly liked dishes ingredient.
Means when we type any restaurant name we will get most liked dish from dataset and then we get the ingredient of that dish.
For which we need to scrap the recipes or ingredients from sites and then use NER or any model to get ingredient from that.
Means when we type any restaurant name we will get most liked dish from dataset and then we get the ingredient of that dish.
For which we need to scrap the recipes or ingredients from sites and then use NER or any model to get ingredient from that.