ARTIFICIAL INTELLIGENCE

Image Caption Generator using CNN | Deep Learning | Python Projects for Resume

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Caption Generator from Image 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 accessibility […]

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Image Caption Generator using Deep Learning | Machine Learning Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

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

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Image Caption Generator using CNN | Machine Learning Projects for Final Year

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, NEURAL NETWORK, OPENCV /

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

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Image and Video Caption Generator using Deep Learning | Machine Learning Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

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Breast Cancer Prediction using Machine Learning | Final Year Project Computer Science

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, IMAGE PROCESSING, MACHINE LEARNING /

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

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Breast Cancer Prediction using Machine Learning | Health Related Science Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

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

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Real-Time Defected Bottle Identification using Image Processing | Machine Learning Projects

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, IMAGE PROCESSING, MACHINE LEARNING /

Real time Plastic Bottle Detection with Deep Learning Project Description:- In this project user can provide input video and it works on real-time as well, if user gave input then it will identify that bottle is defected or not. it also checks that bottle is available in that image or video. Similar it works for

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Hand Bone Joint Detection using Image Processing | Python Project Fracture Detection

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Hand Bone Joint Detection using Image Processing Hand Bone Joint Detection, in this project user have to gave input image then model will detect DIP, PIP, MCP joints. Model will take input of sample x-ray of hand image then after detection it will identify bone and joints and identified it. This project is working on

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Bed Sores Stage Classification using Machine Learning | Image Processing Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Skin Disease Detection using Image Processing Bedsores Image Dataset is implemented as input. The dataset is taken from dataset repository. The input dataset is in the format .png, .jpg. we can extract the features from pre-processed image and then we can implement the deep learning algorithm such as Convolutional Neural Network For classify the disease

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Ayurvedic Recommendation System using Machine Learning | Medicine Recommendation System Project

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, MACHINE LEARNING /

Ayurvedic Medicine Recommendation System using Artificial Intelligence Ayurveda Recommendation System Project using Machine Learning, In this project user have to gave input symptoms and model will gave ayurvedic remedies according to symptoms. Many time you or someone needs doctors guidance or help on urgent basis but they are not available due to some reasons. And

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