Keywords: Analyzed, Driving
The project focuses on analyzing driver behavior using deep learning techniques. By processing data from various sensors, it aims to create a model that accurately captures driving patterns. This analysis could provide valuable insights for improving road safety, driver training, and vehicle performance. The project emphasizes the significance of utilizing DL methods to gain comprehensive insights into driver behavior, contributing to safer and more efficient transportation systems.
Aim
To Analized the Driver Behaviour data using DL Techniques
Objective
Create a deep learning model to analyze driver behavior patterns using sensor data.
Train the model with driving data for accurate classification of behaviors. Evaluate the model's effectiveness in providing insights into driver behavior through DL techniques, enhancing road safety and analysis.
ANN Technique used
Jupyter, Google Collab
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