This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Cdk Global LLC. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Jitendra Choudhary: Innovator in Vehicle Damage Detection
Introduction
Jitendra Choudhary is a notable inventor based in Pune, India. He has made significant contributions to the field of machine learning, particularly in the area of vehicle damage detection and repair cost estimation. His innovative approach combines advanced technology with practical applications in the automotive industry.
Latest Patents
Jitendra holds a patent for "Systems and methods for using machine learning for vehicle damage detection and repair cost estimation." This patent outlines systems and methods for estimating the repair cost of vehicle damage depicted in digital images. The process begins with a damage detection neural network model that identifies the location, type, intensity, and corresponding repair parts for the damage. Following this, a repair cost estimation neural network model calculates the repair costs based on the damage type, intensity, and required parts. The training methodologies for both neural network models are also detailed in the patent.
Career Highlights
Jitendra Choudhary is currently employed at Cdk Global LLC, where he applies his expertise in machine learning to develop innovative solutions for the automotive sector. His work has garnered attention for its potential to streamline the vehicle repair process and improve accuracy in cost estimation.
Collaborations
Jitendra collaborates with talented professionals such as Salil Gandhi and Saurabh Kshirsagar, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Jitendra Choudhary is a pioneering inventor whose work in machine learning has the potential to revolutionize vehicle damage detection and repair cost estimation. His contributions to the field are significant and reflect a commitment to advancing technology in the automotive industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
