Electric Vehicle (EV) Price Prediction using Machine Learning | Python Final Year IEEE Project 2024
Electric Vehicle (EV) Price Prediction using Machine Learning | Python Final Year IEEE Project 2024 - 2025.
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🌐Website: https://www.jpinfotech.org
📌Project Title: Electric Vehicle (EV) Price Prediction using Machine Learning.
💡Implementation: Python.
🔬Algorithm / Model Used: Gradient Boosting Regressor, Extratree Regressor.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.
💰Cost (In Indian Rupees): Rs.5000/
📌IEEE Base Paper Title: Analysis and prediction of electric vehicle costs: A machine learning-based approach.
📌IEEE Base paper Abstract:
Although electric vehicles (EVs) have many benefits for protecting the environment and lowering emissions, their widespread adoption mainly depends on their price. With machine learning (ML) algorithms, costs can be predicted. This research aims to compare the performance of some of the most well-known ML algorithms to determine which algorithm will best predict the price of electric vehicles. To identify the key characteristics, we examined the literature to research the elements that determine the price of electric vehicles in order to estimate their cost. We theoretically compared these ML algorithms to validate our findings and then compared the output of this comparative study to the outcomes of the simulations.
📌REFERENCE:
Abdelfetah Ouadah, Belgacem Said Khaldi, Abdelhamid Iratni, Ahmed Hafaifa, “Analysis and prediction of electric vehicle costs: A machine learning-based approach”, 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), IEEE Conference, 2024.
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