Aim: To create a robust and accurate diagnostic tool employing Convolutional Neural Networks (CNNs) for the analysis of CT scan images, aiming to enhance the efficiency, precision, and early detection of lung cancer, ultimately contributing to improved patient outcomes and healthcare practicesAbstract:The most deadly and life-threatening disea..

Aim:            To detect the plant leaf diseases using neural network for high accuracy detectionSynopsis:            To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classify..

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..

Aim:          Cybersecurity incidents have occurred frequently. Attackers have used phishing emails as a knock-on to successfully invade government systems. Therefore, we designed a phishing email detection  method based on Bidirectional LSTM neural networkAbstract:     &nbs..

Aim:            To detect the COVID-19 using CT 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 an..

Aim:              To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract:            In human life, healthcare is an unavoidable and important task to be done. Cardiovascul..

Aim:          The aim of this research is to improve the accuracy and contextual understanding of sentiment analysis in COVID-19-related tweets by combining the rule-based approach of TextBlob with the deep learning capabilities of GPT-2.Abstract:         The preva..

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. Cardi..

Aim:            To detect the COVID-19 using Machine Learning Classification Algorithms Abstract:          The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world and became a plagu..

Aim: Achieving exam integrity through an AI-driven Smart Proctoring System for vigilant monitoring and prevention of malpractices in online assessments.Abstract:From past three years all human activities are affected by COVID19 but where the knowledge gaining and education for students aren’t stopped. Due to covid-19 affect many of the educati..

Aim:           To automate the detection of presence of ships and to classify the types of ships available in the given Image.Synopsis:         The detection of inshore and offshore ships is an essential task for a large variety of applications in both militar..

Aim:         The aim of this research is to develop an advanced phishing detection system that leverages a hybrid machine learning approach to analyse URLs effectively and accurately identify potential phishing attempts.Abstract:       This research introduces an innovative phish..

Aim:             To provide an automated system for recognition the real-case Scenario through login URLsAbstract:           Phishing is a social engineering cyber attack where criminals deceive users to obtain their credentials through a l..

Aim:            To detect the plant leaf diseases using convolutional neural network for high accuracy detection.Synopsis:          Identification of leaf disease is very difficult in agriculture field. If identification is incorrect then there is a huge ..

Aim:           Analyze the flood data from database for flood prediction.Abstract:                                      ..