Hotel Recommendation System Using Opinion Mining This project aims to recommend hotels for users by using Machine Learning and Sentiment Word Net based method for opinion mining from hotel reviews. It is a sentence relevance score based method for opinion mining of hotel reviews. The classified information about hotel reviews helps web users to interpret
Hotel Recommendation System Using Opinion Mining Read More »
Fake News Video Clips Detection by Deep Learning Methods Videos of fake news are often disseminated in the media. Because of the excellent quality of modified content, it might be difficult to distinguish between fake and real news. These modified or false contents can take any shape, including false news, faces that have been altered
CS619 Fake News Video Detection Using Deep Learning Read More »
Disease Prediction using Neural Network This system will help users as well as doctors to diagnose the disease by automated symptoms detection system at earlier stages. There are 42 different disease data in given Disease Symptom Prediction data set. A detailed symptoms data is given which will be used to train the model for
Disease Prediction using Neural Network Read More »
Classification of Research Articles Using NLP and Machine Learning Document classification is one of the most challenging problems in machine learning in which an algorithm categorizes the document into different classes, in order to make them easier to manage, search, filter, and analyze. Generally, the document classification task is divided into text and visual
CS619 Research Article Classification Using NLP Read More »
Automated Crop Disease Detection System using Computer Vision The objective of this project is to create an automated crop disease detection system that leverages computer vision techniques and deep learning algorithms, specifically Convolutional Neural Networks (CNNs), to accurately identify and classify various crop diseases. You can see the reference paper for better understanding (link is
CS619 Automated Crop Disease Detection with Computer Vision Read More »
