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Crop Yield Prediction based on Indian Agriculture using Machine Learning


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..

Crop Yield Prediction Using Random Forest Algorithm


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..

Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model


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..

Denoising in the Dark: Privacy Preserving Deep Neural Network Based Image Denoising


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..

Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms


Aim:             To ease the process of attendance during online classes and to prevent malpractice during online assessments.  Abstract:          Today’s pandemic situation has changed the way of education to students. Education system had comp..

Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm


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:          ..

Detection of Careless Responses in Online Surveys


Abstract:            Some respondents make careless responses due to the ‘‘satisficing,’’ which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis target..

Effective Heart Disease Prediction Using Hybrid Machine Learning Techniques


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..

Evaluation based Approaches for Liver Disease Prediction using Machine Learning Algorithms


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..

Face Detection and Recognition for Criminal Identification System


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..

Group-Based Skyline for Pareto Optimal Groups


Aim       The main aim of this project is to study the problem of secure skyline queries over encrypted data. The skyline query is particularly important for multi-criteria decision making but also presents significant challenges due to its complex computations.Synopsis         T..

Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks


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..

Intelligent Crop Recommendation System using Machine Learning


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..

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence


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 ..

Loan Status Prediction in the Banking Sector using Machine Learning


Aim:         To determine the customer loan approval system using machine learning algorithms.Abstract:         Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a major contributin..

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