Abstract: Credit card fraud detection increasingly depends not just on model accuracy but on real-time deployment performance and scalability. While many studies benchmark algorithmic improvements in ...
A full-stack web application that uses machine learning to detect spam emails and messages. Built with Next.js, TypeScript, FastAPI, and advanced AI models including Logistic Regression, Naive Bayes, ...
Abstract: Mobile Telecom subscriber’s are interrupted by these spams and it becomes necessary for the service providers to take steps to protect the user. In this project, we aim toward developing an ...
Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia ARC Centre of Excellence in Quantum Biotechnology (QUBIC), ...
A comprehensive AI and Machine Learning powered web application that detects fake trading signals in the Indian Stock Market. Built with Python, Flask, Scikit-learn, Google Gemini AI, and Plotly for ...
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