Search - Machine Learning
Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find ..
Aim: Analyze the flood data from database for flood prediction using machine learning techniques. Synopsis: Natural and environmental sciences are one of the scientific domains which seek a lot of at..
An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine
Aim : To detect the real time credit card fraud transaction using machine learning algorithms.Synopsis: Credit card fraud events take place frequently and then result in huge financial losses. The number of online transactions has grown in large quantit..
Aim: The main aim of this project is to give knowledge regarding Health and diseases of human by receiving user query.Synopsis: Internet has demonstrated itself as a magnificent design over time. Today, billions of people have cont..
Breast Cancer Detection Using Extreme Learning machine Based on Feature Fusion with CNN Deep Features
Aim: To classify benign and malignant breast masses using machine learning algorithm based on Feature Fusion. Synopsis: Cancer is a class of diseases, which is driven by changing cell of the b..
AIMTo be precise and accurate in predicting crop yield and deliver the end user With proper recommendations about required fertilizer ratio based on soil parameters.ABSTRACT India is the land of agriculture and it is the major source of economy.70% of Indian population directly rely..
Aim: The objective of this project is to design and develop an application for analysis of student activity tweets. Synopsis: Emotion is a mental disorder which may..
Aim:The main aim of this project is to recommend suitable events to a single or a group of users based on users preferences and current context.Synopsis: Venue recommendation for hosting popular Meet up events is a perfect example of a recommendation problem where multiple entities interact and influence each other. Selecting suitabl..
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Aim: This paper aims to help doctors and practitioners in early prediction of diabetes using machine learning techniques. Synopsys: A dataset of a patient’s medical record is obtained and different machine learning algorithms are applied on the dataset. Performance and accuracy of the applied algorithms i..
Aim: The main aim of this project is to solve the problem of counterfeiting certificates we are proposing an digital certificate system based on block chain technology and to verify the traveler’s identity using live camera, which allows faster convergence and more generaliz..
Aim: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular diseaseSynopsis: Heart disease is one of the most significant causes of mortality in the world today..
Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets
Aim:The objective of this project is to develop a system to identify the tweet harbor hatred in micro blogs during disaster events.Synopsis: Social media reach is widespread such that information travels very fast without any geographical border or constrained. People are..
Aim: To predict a emoji based on text, image and emojis Synopsis: Emojis are a very important part of communication in today’s world. It is used to express emotions during a conversation. Building a system which can suggest emoticons based on the text provided can be very useful.It..
Aim: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular diseaseSynopsis: Millions of people today are suffering from various diseases that can prove fatal. Disease..