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Projects Showcase
Projects Showcase
Projects Showcase
Projects Showcase
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Comic Book Generator Assistant
Project
Developed an intelligent assistant leveraging GPT-4 and Stable Diffusion to streamline and enhance the creation of comics and art books through sophisticated language interaction and AI-generated imagery.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Object Detection Comparative Analysis
Project
This project explores three popular object detection algorithms: YOLO V5, SSD, and Faster R-CNN. It analyzes their strengths and weaknesses in terms of accuracy, computational cost, and real-time performance, providing insights into their suitability for various applications like robotics, self-driving cars, and medical imaging.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
Novel Non-Invasive Detection of Anemia using Computer Vision
Project
This project develops a novel non-invasive approach to detect anemia by analyzing hemoglobin levels from digital images. Utilizing deep learning and image processing techniques, this system aims to provide an objective, accurate, and accessible diagnostic tool.
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@2024, All Rights Reserved
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