💳 AI-Powered Financial Fraud Detection

💳 AI-Powered Financial Fraud Detection & Risk Intelligence Platform 🚀 Excited to share my latest Machine Learning project, designed to identify potentially fraudulent financial transactions in real time and help strengthen digital payment security. This system analyzes transaction patterns and evaluates risk factors such as transaction amount, merchant category, location mismatch, device trust score, transaction velocity, and more to classify transactions as Fraudulent or Legitimate. 🔹 Real-Time Fraud Detection 🔹 Machine Learning-Based Prediction 🔹 Risk Probability Scoring 🔹 Interactive Dashboard & Visualizations 🔹 Data-Driven Decision Making 🔹 Streamlit Web Application Technologies Used: 🐍 Python 📊 Pandas & NumPy 🤖 Scikit-learn (Machine Learning) 🌲 Random Forest Classifier 📈 Plotly (Interactive Visualizations) 🎨 Streamlit (Web Dashboard) 💾 Pickle (Model Deployment) This project enhanced my understanding of machine learning workflows, fraud analytics, data preprocessing, model deployment, and interactive dashboard development. hashtag#ArtificialIntelligence hashtag#MachineLearning hashtag#DataScience hashtag#FraudDetection hashtag#Python hashtag#Streamlit hashtag#ScikitLearn hashtag#FinancialTechnology hashtag#Analytics hashtag#AIProjects hashtag#PortfolioProject