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From Docs to Dialogue: Build Your RAG Chatbot on Azure, Step-by-Step
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How I Tried (and Struggled) to Teach YOLO to Spot Bone Fractures
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Deep Learning for X-ray Bone Fracture Detection: Key Concepts and Recent Approaches
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Exploring CNN Components for Tumor segmentation in MRI Images:An oblation study
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Overview of VGG16, ResNet50, Xception and MobileNet Neural Networks
Pinned Loading
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RAG_Chatbot
RAG_Chatbot PublicDeveloped and deployed a cloud-hosted RAG chatbot with a Streamlit UI to semantically ingest, index, and query diverse text datas, delivering context-rich, on-demand insights while managing everyth…
Jupyter Notebook
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YOLO11n-Bone-Fracture-Detection-Model
YOLO11n-Bone-Fracture-Detection-Model PublicThis repository implements an end-to-end pipeline for detecting bone fractures in X-ray images using the YOLO11n object detection framework. All methods, datasets, and insights are drawn from the a…
Jupyter Notebook
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SemanticSegmentationMedicalImaging
SemanticSegmentationMedicalImaging PublicIn this project, I manipulate the impacts of different components of an encoder-decoder convolutional neural network (CNN) for tumor segmentation in the 2D MRI Brain Tumor Image Dataset.
Jupyter Notebook
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ImageObjectClassification_NetworkComparison
ImageObjectClassification_NetworkComparison PublicIn this study, the MobileNet, ResNet50, VGG16, and Xception deep learning architectures were trained to classify brain MRI images into four various cancer categories , and a healthy "no tumor" class.
Jupyter Notebook 2
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PredictEdge-WebApp
PredictEdge-WebApp PublicBuilding a web app using Streamlit(Fronteend app) Deploying a Machine Learning Model using fastAPI(Backend app) Serving model via REST API with FastAPI Setting up the environment with Docker and D…
Python
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