A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection

5,500.00
Aim: People can use credit cards for online transactions as it provides an efficient and easy-to-use facility.Ā  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 and financial companies. The main aim is to detect fraudulent transactions using credit cards with the help of ML algorithms and deep learning algorithms.

A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning

5,500.00
To develop an enhanced stock price prediction model that leverages advanced deep learning techniques optimized feature engineering, and potentially external factors like sentiment analysis to achieve superior forecasting accuracy and robustness

A Pragmatic Approach of Heart and Liver Disease Prediction using Machine Learning Classifiers

5,500.00
Aim: To apply various machine learning algorithms to analyze medical data and predict the likelihood of heart and liver diseases, assisting healthcare professionals in making informed decisions for diagnosis and treatment.

Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI

5,500.00
To develop a robust and explainable hybrid deep learning framework for detecting fake news by integrating advanced transformer-based models and explainable AI techniques, thereby enhancing classification accuracy, improving model generalization, and fostering transparency in decision-making

Agricultural Loan Recommender System – A Machine Learning Approach

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To determine the loan approval system using machine learning algorithms. Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Ā  Loan approval is a very

ANALYSIS OF CHRONIC LIVER DISEASE DETECTION BY USING MACHINE LEARNING TECHNIQUES

5,500.00
Aim: The aim of this project is to develop a machine learning system for the early detection and prediction of chronic liver disease.

Application of IoT and Artificial Intelligence in Road Safety

12,500.00
Aim: Ā Ā Ā Ā Ā Ā  Ā  This paper explores the advancement of the Internet of Things (IoT) and Machine Learning in the field

Classifying Swahili Smishing Attacks for Mobile Money Users: A Machine-Learning Approach

5,500.00
Aim: Ā Ā  Predict the Swahili smishing attack. Mobile money platform evolution could be attributed to the bureaucracy of owning a

Crop Yield Prediction Using Random Forest Algorithm

5,500.00
Aim: Predict the crop type and price of the crop using machine learning methodology with accurate results.

DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the popularity and widespread use of social

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

5,000.00
Abstract           Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical

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

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To ease the process of attendance during online classes and to prevent malpractice during online assessments. Abstract: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā