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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:      To determine the 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 contributing parameter in the financial statements..

Aim:        To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract:         Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identifying process of diabetes is the glucose an..

Aim:          This study aims to improve the accuracy of Ransomware Classification and Detection with Machine Learning Algorithms Ransomware Classification, Feature Selection, Machine Learning, Cyber securityAbstract:          Ransomware attacks pose a severe threa..

Aim:To predict the high demand need of pickup location for taxi services based on their previous history. Synopsis:The service industry is booming for the last couple of years and it is expected to grow in the near future. One of the important natures of the business is the serve the customer. To effectively utilize the resource at hand is..

Aim:        The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model, providing a nuanced understanding of public perceptions towards cryptocurrency transactions. This proposed system leverages the capabilities of GPT-2 to predict positive, negative, or neutral emotions..

Aim:          The sentiment analysis for crypto currency-related tweets, Crypto currency market price prediction based on the analyzed sentiments with the help of LSTM Long short-term memory.Abstract:          The crypto currency market has been developed at a..

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 military and civilian fields. The sur..

Aim:             We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a unique opportunity for sleep and health monitoring. However, wearable technologies rely on accurate and real-time monitoring algorithms.Abstract..

Aim:          Aim of the project is to build a smart home automation system to control home appliances, monitor the power consumed by the appliances and predict the power consumption using machine learning algorithm.Synopsis:          In order to implement the..

Aim:          To detect SKL-Based fake reviews on e-Commerce with using couples of machine learning algorithm based on sentiment analysis.Abstract:            The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other precautio..