🔍 Online Payment Fraud Detection System | Streamlit & KNN Model
Welcome to our demo on Online Payment Fraud Detection using Streamlit and a K-Nearest Neighbors (KNN) model! 🚀
🔹 What’s Covered in This Video?
✅ Authentication system with login/logout functionality
✅ Real-time fraud prediction based on transaction details
✅ Alert system with an audio warning for fraudulent transactions
✅ Data visualization: Payment type distribution, scatter plots, and correlation heatmap
🔹 Tech Stack Used:
🔸 Python | Streamlit | Scikit-learn | Matplotlib | Seaborn | Pandas
📌 Project Features:
Secure login system
Fraud detection using a trained KNN model
Dynamic visualizations for transaction analysis
Audio alert for fraudulent transactions
💡 Like, Share & Subscribe if you found this helpful! 🔔
📌 Contact for More Information:
📧 Email: astraai45@gmail.com
📞 Phone [Preferably]: 6301756758, 8639471987
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#pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #deeplearning #deeplearningproject #computerscienceproject #deeplearningprojects #majorprojects #academicprojects #majorproject
#Flask #AI #MachineLearning #DeepLearning #SmartFarming #CropRecommendation #FertilizerPrediction #WaterManagement #LeafDiseaseDetection #ComputerVision #FarmTech
#Astra AI
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