Understanding Need of user’s vehicle and recommending appropriate electronic vehicle

Description

In our daily life vehicles are used in a number of applications i.e. domestic and commercial use. Among them, a significant increase in domestic vehicle registration patterns has been recorded. By adopting the changes, the vehicle industry can make appropriate vehicles, that can fit the current domestic consumer demand. Therefore, the proposed work incorporates a data model-based machine learning to (1) assist the consumer in finding an appropriate vehicle, (2) assist the vehicle industry in identifying the key requirements and preferences to make improvements, (3) additionally, also help to make future demand ready vehicles for improving their consumer base.