SaloniJhalani/Food-Delivery-Time-Prediction-Model
Leveraging advanced data cleaning techniques and feature engineering, a robust food delivery prediction model was developed using regression algorithms.
This project helps food delivery businesses estimate how long it will take for an order to reach a customer. You input details like the order, location, city, delivery person, and weather, and it outputs an accurate predicted delivery time. Food delivery platform managers and logistics coordinators can use this to improve customer satisfaction and streamline operations.
No commits in the last 6 months.
Use this if you manage a food delivery service and need to provide customers with reliable estimated delivery times or optimize your delivery routes.
Not ideal if you are looking for a system that provides real-time traffic updates or manages a fleet of delivery drivers directly.
Stars
9
Forks
4
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 27, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SaloniJhalani/Food-Delivery-Time-Prediction-Model"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
chiragsamal/Zomato
Zomato Restaurants Exploratory Data Analysis, Visualization and Prediction with Sentiment...
TheKiddos/Restaurant-SyS
Semester project for Tishreen university.
rajshah16/food-ordering-system-with-ML
The food ordering is a Django based web-application aimed to optimize & fast-track food ordering...
Vikranth3140/Food-Delivery-Time-Prediction
This repository implements a Food Delivery Time Prediction project using machine learning to...
JaweriaAsif745/ingredient-based-recipe-recommender
A Flask-based machine learning web app that recommends recipes based on the ingredients you...