Food-Delivery-Time-Prediction and Food-Delivery-Time-Prediction-Model

Food-Delivery-Time-Prediction
31
Emerging
Food-Delivery-Time-Prediction-Model
28
Experimental
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 12/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 15/25
Stars: 4
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 9
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Food-Delivery-Time-Prediction

Vikranth3140/Food-Delivery-Time-Prediction

This repository implements a Food Delivery Time Prediction project using machine learning to estimate delivery times based on features like order details, delivery partner data, and environmental factors. It covers data preprocessing, feature engineering, model training, and evaluation for accurate predictions.

About Food-Delivery-Time-Prediction-Model

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.

food-delivery logistics customer-experience operations-management delivery-optimization

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