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:        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:          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..

Aim:           Analyze the rain fall data from database for rain prediction.Abstract:                                    &nbs..

Aim:           To detect and identify the Violation detection using Deep-Learning techniques.Abstract:        The widespread deployment of surveillance cameras, enabled by digital video technologies, has created an overwhelming volume of data that poses challenges for r..

Aim:            To detect and identify the Traffic Signs detection using CNN.Abstract:         Traffic sign recognition and detection are critical in expert systems for effectively recognizing traffic signs along the road, such as left hair pin bend, parking l..

Aim:             To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis:             Social networking sites have become very popular in recent years. Users use them to find new frie..