Cyber Fraud App Detection Using Machine Learning

ABSTRACT Cyber fraud detection and prevention using machine learning (ML) is an advanced approach to safeguarding digital transactions and data integrity. Machine learning algorithms, including supervised and unsupervised learning techniques, are leveraged to analyze...

Secure Supply chain Management using Blockchain

ABSTRACT The integration of blockchain technology into supply chain management (SCM) presents transformative opportunities to enhance transparency, security, and efficiency across the entire supply chain. Traditional SCM systems often struggle with issues such as data...

Audio DeepFake Detection using Machine Learning

ABSTRACT The rapid advancement in artificial intelligence has led to the emergence of deepfake audio, a technique where synthetic voices are generated to closely mimic real human speech. This poses significant threats, including misinformation, fraud, and the erosion...

AI based Learning Assistant Using Machine Learning

ABSTRACT An AI-based Question Answer Generation and Evaluation System employs state-of-the-art natural language processing and machine learning techniques to automate the creation and assessment of questions and answers. This system is capable of generating diverse,...

Student Engagement Prediction using Image Processing

ABSTRACT In the realm of educational technology, predicting and enhancing student engagement is crucial for optimizing learning outcomes. This study introduces a novel approach to student engagement prediction by leveraging facial expression analysis through Recurrent...