Clinical Decision Support
In this project, i have automatically suggest the patient by generating the message for the different types of deseases and suggest the prescription.
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Deep Learning Applications Suite Annotator / AI Training Contributor. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV. Education includes Bachelor of Science, University of Rajshahi (2025). AI-training focus includes data types such as Image and labeling workflows including Object Detection.
In this project, i have automatically suggest the patient by generating the message for the different types of deseases and suggest the prescription.
In this thesis paper, i have find out the keypoint of the face. There are used the 19 keypoint and there are used total 89000 images.
Developed deep learning solutions for crowd counting, face detection, and verification using image datasets. Designed and implemented complete data labeling and training pipelines for computer vision applications. Managed data preprocessing, annotation tasks, model evaluation, and system integration for research and applied projects. • Labeled and classified faces, crowds, and objects in image datasets to enable model training. • Conducted extensive annotation work for detection and verification models. • Participated in segmentation and image generation projects requiring labeled data. • Utilized PyTorch, TensorFlow, and OpenCV for labeling and preprocessing workflows.
Bachelor of Science, Computer Science and Engineering
AI/ML Engineer