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
- Parul University (IN)
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