Detection of Stress in IT Employees using Machine Learning Technique IEEE BASE PAPER ABSTRACT: The objective of this paper is to apply machine learning and visual processing to identify overworked IT employees. Our technology is an improved version of older …
Fraud Detection and Analysis for Insurance Claim using Machine Learning IEEE BASE PAPER ABSTRACT: Insurance Company working as commercial enterprise from last few years has been experiencing fraud cases for all type of claims. Amount claimed by fraudulent is significantly …
Fine-Grained Food Classification Methods on the UEC FOOD-100 Database OUR PROPOSED TITLE: Fine-Grained Food Classification using Deep Learning IEEE BASE PAPER ABSTRACT: The development of an automatic food recognition system has several interesting applications ranging from waste food management, to …
Plant Disease Detection and Classification Using Machine Learning Algorithm IEEE BASE PAPER ABSTRACT: Agriculture accepts a basic part by virtue of the quick improvement of the general population and extended interest in food in India. Hence, it is required to …
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods IEEE BASE PAPER ABSTRACT: Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The earlier they can be predicted and classified; the more lives …
Automated Bird Species Identification using Audio Signal Processing and Neural Network IEEE BASE PAPER ABSTRACT: Now a days bird population is changing drastically because lots of reasons such as human intervention, climate change, global warming, forest fires or deforestation, etc., …
Bird Species Identification Using Deep Learning PROJECT ABSTRACT: Bird identification is a difficult undertaking that frequently results in ambiguous labelling. Even skilled bird watchers dispute on the species of a bird when presented with an image of one. It’s a …
Rice Leaf Disease Detection using Efficientnet ABSTRACT: Rice is one of the major cultivated crops in India which is affected by various diseases at various stages of its cultivation. It is very difficult for the farmers to manually identify these …
Dog Breed Classification using Deep Learning PROJECT ABSTRACT: The current research involves determining the breed of a dog in a given image, which is a fine-grained image recognition challenge including multi-class categorization. The proposed system makes use of cutting-edge deep …
Customer Churn Prediction using Machine Learning PROJECT ABSTRACT: Churn studies have been used for years to achieve probability and to establish a sustainable customer-company relationship. Deep learning is one of the contemporary methods used in churn analysis due to its …