Mileage Prediction System using Regression Analysis
Year: 2025
Type: dissertation
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.
Author: Sujal Patil
Institution: Parul University
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893161756
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