Aim:            To detect the COVID-19 using x-ray images by using Convolutional neural networkAbstract:            The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world..

Aim:           People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significant financial losses for both credit card holders..

Aim:         Predict the crop recommendation for a agriculture environment using machine learning technique and also using various feature selection techniques and classifiers.Abstract:         Agriculture is a growing field of research. In particular, crop prediction i..

Aim:          To 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 Ind..

Aim:               Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract              India is the land of agriculture and it is the major source of economy. 70% of..

Aim:          The primary aim of this research is to design, build, and rigorously evaluate an interpretable AI model for the early diagnosis of Chronic Kidney Disease (CKD) by leveraging a diverse dataset of patient information.Abstract:      Chronic Kidney Disease (CKD) is curr..

Aim:            Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the popularity and widespread use of social media by individuals of all ages, it is vital to make social media platforms safer from cyberbullying. This esents a hybrid Machine learning model, to..

Aim:           To efficient RCNN based system for fire detection in videos captured in uncertain surveillance scenarios Synopsis:             Vision based fire detection framework has lately picked up popularity when contrasted with cus..

Abstract:             Due to a lack of knowledge about safety helmets, accidents and injuries on construction sites are now increasingly common. Worker supervision by hand is challenging and ineffective. Workers often take off the helmets because of weak security-conscious and discomfort, then ..

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..

Aim:         To detect and identify the Alzheimers disease detection using Deep-Learning techniquesAbstract:      Alzheimer's disease is a neurodegenerative disorder that affects memory, thinking, and behavior. Detecting the disease early is crucial for effective management and treatment. ..

Aim:          To develop deep learning models to detect and track humans in aerial imagesAbstract:       Detecting humans in aerial images remains a tedious task for the application based on Search And Rescue operation (SAR). The prime goal of SAR is to detect and assist peo..

Aim:          This study aims to improve the accuracy of spam email detection by leveraging a hybrid approach employing the Harris Hawks Optimizer (HHO) in conjunction with the powerful XGBoost algorithm for feature selection in machine learning.Abstract:          ..

Aim:             The aim of this research is to enhance the detection of cardiovascular diseases in ECG images using advanced machine learning techniques. Abstract:            The accurate and timely detection of cardiovascular diseases thr..

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..