Hello, I am an experience AI/ML Developer. As an experienced AI/ML Developer with a deep passion for artificial intelligence and machine learning, I offer my expertise to freelance projects. With a strong background in computer science and extensive experience in developing AI/ML applications, I am skilled in using cutting-edge technologies and frameworks to create innovative solutions that solve complex business problems.
Riddhi is an exceptional freelancer who consistently delivers top-notch results. Her expertise, professionalism, and remarkable work ethic make her an invaluable asset to any project. I wholeheartedly recommend Riddhi and look forward to the opportunity to work with her again in the future.
Working as a Research Intern on topic deep learning
thg 7 2022 - thg 9 2022 (2 tháng, 1 ngày)
I am research intern under Prof. Jianhui Zhou and work on the project "Ground Reaction Force Estimation based on Computer Vision using Azure Kinect"
Bachelor of Technology in Artificial Intelligence
Nagpur University, India 2019 - 2023
Nội dung đã đăng
The Computational Approach for Human Face Mask Detection
International Research Journal of Engineering and Technology (IRJET)
The whole world is suffering from SARS-CoV-2 and its very crucial time for all living beings and it’s been impacted in almost every development sector. Since, December 2019, the coronavirus spreading throughout the world. The only prevention to this virus is to use of face mask and sanitizer regularly. Government has mandatory the use of face mask in public area like, shopping complex, offices, schools, colleges etc.
Energy efficient data transmission in wireless sensor network using cross site leaping algorithm
AIP Conference Proceedings
The sink versatility along a controlled way can improve energy effectiveness in remote sensor organizations. To stay occurrence deferral to the ground esteem, an application that requires example information previews, it is forever alluring to diminish the length of an information assortment measure and during the assault between sources to objective.
Comparative Analysis for Improving Accuracy of Image Classification Using Deep Learning Architecture
International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021
Image classification is a classic problem in areas pertaining to Computer Vision, Image Processing, and Machine Learning. This paper aims to compare the various Deep Learning Architectures to improve the accuracy of Image Classification to select the best Deep Learning Architecture by implementing and testing various Deep Learning Architectures in combination with Dense Neural Networks.