Aim:             This paper aim to detect Real time driver's fatigue state using Convolutional Neural Network (CNN) Synopsis:           Accidents are more due to the driver’s drowsiness; it has been recorded that more than 40% of chances that acciden..

Aim:         The aim of this study is to address the escalating issue of wildfires on a global scale, particularly in regions like Brazil, where the Amazon forest and other forest biomes are significantly affected. The proposed aim is to introduce a novel and lightweight convolutional neural network (CNN) model fo..

Aim:           To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract:            Heart disease is one of the most significant problem is arising in the world today. Cardiovascu..

Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Diabetic Retinopathy is a disease that can lead to partial or complete blindness. Research shows that it contributes around 5 percent of the total cases of blindness. Usually it takes about two weeks for the diagnosis of disease; time and money..

Aim:          Cyber bulling is described as the serious, intentional, and repetitive acts of a person’s cruelty toward others using various digital technologies. It is mainly expressed through nasty tweets, texts, or other social media posts. So we analyzing sentiment, emoji and bully detection to contro..

Aim:                  To apply machine learning techniques result in improving the accuracy in the liver disease prediction. Abstract:            The life of humans living without liver tumors is one of the fun..

Aim:                To detect and recognize the face and we can differentiate between citizen and criminals and further investigate whether the identified person is criminal or not.Abstract:            Face recognition can be..

Aim:          To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy.Synopsis:          The corona virus disease 2019 (COVID-19) has globally infected over 2.7million people and caused over 180,000 d..

Aim:          The aim of this paper is to develop an automatic white blood cell classification system using deep learning techniques. Specifically, the objective is to create a model capable of accurately classifying white blood cells (leucocytes) to aid in the diagnosis of various hematologic diseases, ..

Aim:          The aim is to leverage the power of machine learning to create efficient and accurate fraud detection systems that protect the interests of both financial institutions and their customers.Abstract:          As technology advanced and e-commerce s..

Aim:          Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. Here we aim to make our evaluations based on every basic parameter that is considered while det..

Aim:               This paper aim to classify the different types of videos using deep learning framework with convolution neural network (CNN) Abstract:            Video classification has been extensively researched in comp..

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Aim:         Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters. We also recommend the crop price using machine learning.Abstract           India is one of the leading countries world..

Aim:             To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract:              India is one of the leading countries worldwide in terms of farm output. Even after being a leading ..