Mileage Prediction System using Regression Analysis

Project Description (Short) The Mileage Prediction System utilizes regression analysis to estimate vehicle fuel efficiency based on attributes such as engine size, weight, fuel type, and horsepower. The system processes historical vehicle data, applies machine learning models (Linear Regression, Random Forest, etc.), and predicts mileage with high accuracy. It features a user-friendly interface, secure API integration, and real-time data handling. Future enhancements include deep learning models, IoT-based real-time tracking, and mobile app integration. This system benefits vehicle owners, manufacturers, and researchers by providing valuable insights into fuel efficiency.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-25
DOI
https://doi.org/10.5281/zenodo.15082821
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Mileage Prediction System using Regression Analysis

Zenodo (CERN European Organization for Nuclear Research)
Vehicle emissions and performance
article

Mileage Prediction System using Regression Analysis

article en

Abstract

Project Description (Short) The Mileage Prediction System utilizes regression analysis to estimate vehicle fuel efficiency based on attributes such as engine size, weight, fuel type, and horsepower. The system processes historical vehicle data, applies machine learning models (Linear Regression, Random Forest, etc.), and predicts mileage with high accuracy. It features a user-friendly interface, secure API integration, and real-time data handling. Future enhancements include deep learning models, IoT-based real-time tracking, and mobile app integration. This system benefits vehicle owners, manufacturers, and researchers by providing valuable insights into fuel efficiency.

Zenodo (CERN European Organization for Nuclear Research)
Parul University (IN)
Affordable and clean energy
Openalex Percentile: Top 55%
Vehicle emissions and performance
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