Build an python project for classifying hyperspectral images using dimensionality reduction techniques

Hi.Dear... Nice to meet you. I saw your project details carefully. Thanks for your posting. I am expert in image processing using Machine Learning. I am working in this this field for 5 years. I have experiences to develop boundary detection in image processing using Machine Learning, Matlab and Python. I think that I can complete your project perfectly. It is my pleasure to work with you. If you will give me a chance to work with you, you will get satisfied result and I will do my best for you. Thanks and Regards.

Hey. I hope that this proposal finds you well. I have commendable experience in Python programming, especially in Machine Learning domain. I have worked with hyperspectral images during my internship at the Institute of Space Technology. We prepared a solution for semantic segmentation of satellite images using MAML. I have heavily used dimensionality reduction tools like PCA, LDA, and Autoencoders for noise removal from images and for applications in my thesis "deep learning-based design of nanophotonic structures." Consequently, I am confident that I can complete the required work efficiently. Please consider my proposal and get back to me! If you decide to hire me, it will be my first job on this platform! Cheers!

I have worked with hyperspectral images during summer research exposure at IIT Mandi. Have reliable experience in python, Machine Learning. Looking forward to discuss further requirements.

Hello, I am Machine learning engineer and python, Matlab expert. I am interested in your project. Please provide further details on the same. Looking forward to a positive reply. Thanks and regards, Aleena N A

I have used yolo for many of my object detection projects and have also worked with image classification projects and would be glad to help you out with it. I have worked on projects including pose estimation using MoveNet and object detection using yolo both which are both fields in the vast subject of artificial intelligence

Focusing on Developing Software using recent advancements in the world of Machine Learning. 2+ years experienced and highly skilled in Machine Learning Algorithms and Computer Vision across the complete development and deployment life cycle. Currently, I am an Open Source Contributor on Facebook . A Great opportunity and experience for me being a part of Facebook AI Team. Most recent project is Music Recommendation System based on User's Audio. Using Audio Processing techniques and strong computer vision algorithms. Earlier, I've done a lot of projects in Machine Learning and Deep Learning like Classification tasks, Object Detection, Data Extraction from Images using Google Cloud Vision APIs. Integration Frameworks which connect our models to web servers. I used Django, Amazon Web Services, Google Cloud Platform, Flask, Fast API, IBM, Streamlit, Heroku, Docker with MySQL, MongoDB. A Hackathon named #BuildWithAI organized by the Hackmaker company. In 2020, I participated in this hackathon as a Participant. Then my team (named Prediction Ctrl) got fourth position in the Prediction Analysis Challenge. This year, I participated in this hackathon as a Mentor and Lead Mentor and guided many teams by contributing in their solutions. 3x expert on Kaggle (AI and Data Science Platform) and contributed to Microsoft.