Cloud Removal from Satellite Images using Image Processing, Project developed using web interface, user have to first upload of cloudy satellite image then you have to click on submit button, after submitting then it will load the model, this process will take time because we are processing and using GAN Network that takes heavy computational […]
Chatbot Assistant using Python The rapid growth of digital documents has necessitated efficient tools for document management and reading. This paper introduces a novel PDF reader chatbot application designed to improve the user experience and interaction with PDF documents. The chatbot leverages natural language processing (NLP) and machine learning techniques to enable users to interact
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Smart Trolley and the age-restricted locker system. The smart trolley will be equipped with an RFID reader to automatically scan products as they are placed in the basket. This function will allow for real-time tracking of items added to the user’s shopping cart, simplifying the checkout experience and providing immediate access to the total cost
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Blood Cancer Detection using Deep Learning Blood Cancer Detection using Neural Networks introduces a diagnostic tool that aids in the early detection of blood cancer through medical imaging analysis. By training on diverse datasets, the neural network can identify abnormalities in blood cell morphology, providing timely and accurate insights for medical professionals. This application enhances
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The rise of Internet of Things (IoT) devices has great connectivity and automation across various domains, but it has also exposed networks to a broad range of cyber threats. This project proposes an attack detection system specifically designed for Internet of Things (IoT) devices, using machine learning algorithms to analyze network traffic patterns and identify
Violence Detection System using Machine Learning Abnormal Activity Detection and Alert System in ATM, It is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences
Android Studio Complete Installation Video In this video we will explain the Android Installation Process in detail, User have to first download Android Studio so have to search on google for latest one and install it. For run any android app code user have to unzip the project file. For setup the android studio in
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Abnormal Activity Recognition Based on Deep Learning Abnormal Activity Detection is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences that need human attention using
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Abnormal Activity Detection using Deep Learning Suspicious Activity Detection in videos is a fascinating area of computer vision that aims to automatically identify unusual or anomalous events from video footage. By leveraging machine learning algorithms and computer vision techniques, it becomes possible to develop systems that can detect abnormal activities, such as fighting, robbery, abuse,
Sign Language Recognition using Python and OpenCV Sign Language Detection using Machine Learning, this project developed using python programming language. This machine learning model is trained on large dataset of images with different signs so it can easily identify word sign, character and numbers. User have to first login with username and password. If the
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