Fake Profile Detection using Support Vector Machine (SVM) скачать в хорошем качестве

Fake Profile Detection using Support Vector Machine (SVM)

This project demonstrates how to detect fake social media profiles using a powerful machine learning model — Support Vector Machine (SVM). It classifies profiles as genuine or fake based on behavioral and numeric attributes such as followers count, status count, friends count, and more. The web app features an interactive front-end built with ReactJS, while the backend is powered by FastAPI, ensuring smooth and efficient real-time predictions. Github Link : https://github.com/tejas05wini/Fake-P... 💡 *Key Features* ✅ Clean UI built with ReactJS ✅ SVM model for fake vs genuine profile classification ✅ Real-time prediction through FastAPI backend ✅ Simple and effective input form ✅ Trained on real-world profile data ✅ Accurate binary classification Timestamps: 0:00 Intro 0:30 Problem Statement 1:00 Impact of Fake Profiles 1:45 Technologies Used 2:30 Dataset Overview 3:10 SVM Model Explained 4:20 Project Workflow 5:00 Frontend Overview 5:45 Backend API Overview 6:20 Code Walkthrough 8:00 Live Demo 9:00 Results & Output 9:30 Conclusion 📢 *Perfect for:* Students looking for machine learning mini projects Cybersecurity-related academic ideas Data science & full-stack learning Final-year projects using FastAPI and React 💬 *Drop your thoughts and doubts in the comments!* 👍 Don’t forget to *Like, Share, and Subscribe* for more exciting ML & full-stack projects! #FakeProfileDetection #SVM #FastAPI #ReactJS #MiniProject #Python #MachineLearning #CyberSecurity #FullStack