In this project user have to gave input image and model will generate text with head counts; count the number of person, Similarly it works for video as well. User have to give input video and model will generate text accordingly. Model integrated with web interface with Login and Registration Page. The project contributes to […]
Image Caption Generator using Deep Learning | Machine Learning Projects Read More »
Image Caption Generator Project in Python with Source Code Image Caption Generation with Neural Networks represents a significant advancement in artificial intelligence, enabling machines to generate descriptive captions for images. User have to upload input image and model will generate text with head counts and count the number of person, Similarly it works for video
Image Caption Generator using CNN | Machine Learning Projects for Final Year Read More »
Image and Video Caption Generator using Machine Learning Image Caption Generation with Neural Networks represents a significant advancement in artificial intelligence, enabling machines to generate descriptive captions for images. Utilizing sophisticated neural network architectures, this system analyzes image content and context to generate contextually relevant and coherent captions. The project contributes to applications such as
Image and Video Caption Generator using Deep Learning | Machine Learning Projects Read More »
Breast Cancer is deadly and the most common type of cancer in the world. Based on machine learning algorithm such as random forest, XGBoost, logistic regression and K-nearest neighbor, this paper establishes different models to predict and classify breast cancer. Machine Learning has potential to predict breast cancer based on features hidden in data. Breast
Breast Cancer Classification Using Machine Learning | IEEE Based Projects for CSE 2024 Read More »
Breast Cancer Classification using Machine Learning The Breast Cancer Detection with Neural Networks and Machine Learning project represents a pivotal advancement in medical diagnostics, specifically focusing on early detection of breast cancer. Employing a sophisticated blend of neural networks and machine learning algorithms. A Breast Cancer Detection using Python involves utilizing machine learning techniques to
Breast Cancer Prediction using Deep Learning | IEEE Projects for CSE Read More »
The Breast Cancer Prediction with Neural Networks and Machine Learning project represents a pivotal advancement in medical diagnostics, specifically focusing on early detection of breast cancer. Employing a sophisticated blend of neural networks and machine learning algorithms, the system meticulously analyzes mammogram images to identify potential signs of breast cancer. By leveraging comprehensive datasets, the
Breast Cancer Prediction using Python Breast Cancer is a Multifactorial disease and the most common cancer in women around worldwide with approx. 30% of female cancers. Over past 30 years the death rate has decreased while disease is increased. Breast Cancer is a Multifactorial disease and the most common cancer in women around worldwide with
Breast Cancer Prediction using Machine Learning | Final Year Project Computer Science Read More »
Breast Cancer Classification using CNN Breast Cancer is deadly and the most common type of cancer in the world. Based on machine learning algorithm such as random forest, XGBoost, logistic regression and K-nearest neighbor, this paper establishes different models to predict and classify breast cancer. Machine Learning has potential to predict breast cancer based on
Breast Cancer Prediction using Machine Learning | Health Related Science Projects Read More »
Breast Cancer Prediction using Machine Learning Breast cancer is a type of cancer that originates in the breast tissue. It occurs when the cells in the breast grow and divide uncontrollably, forming a tumor. Breast cancer can affect both women and men, although it is much more common in women. There are different types of
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Brain Tumor Detection Web App with Neural Networks The Brain Tumor Detection Web App with Neural Networks is a web-based diagnostic tool that assists in the early detection of brain tumors. Utilizing neural networks and medical imaging data, the application analyzes brain scans to identify potential tumor formations. This tool aims to expedite the diagnostic
