https://github.com/vatshayan/upi-fraud-detection-using-machine-learning
UPI Fraud Detection Using Machine Learning with Source Code and documents
https://github.com/vatshayan/upi-fraud-detection-using-machine-learning
capstone-project college-project documentation final-project final-year-project final-year-projects final-year-projects-code finalproject machine-learning-projects major-project minor-project ml-project semester-project university-project
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UPI Fraud Detection Using Machine Learning with Source Code and documents
- Host: GitHub
- URL: https://github.com/vatshayan/upi-fraud-detection-using-machine-learning
- Owner: Vatshayan
- Created: 2024-10-28T20:44:20.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-12-18T11:22:30.000Z (5 months ago)
- Last Synced: 2025-01-12T00:14:56.306Z (4 months ago)
- Topics: capstone-project, college-project, documentation, final-project, final-year-project, final-year-projects, final-year-projects-code, finalproject, machine-learning-projects, major-project, minor-project, ml-project, semester-project, university-project
- Language: Jupyter Notebook
- Homepage: https://www.finalproject.in/
- Size: 17.6 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
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README
# UPI-Fraud-Detection-Using-Machine-Learning
UPI Fraud Detection Using Machine Learning Project with Source Code and documents
### Youtube Video : https://youtu.be/uzVdxlG1gIY?si=7-L7cad6Swb51qOx
### Abstract:
This project presents a full-stack web application designed for the detection of UPI (Unified Payments Interface) fraud using advanced analytical techniques. The system leverages historical transaction data to identify patterns and anomalies indicative of fraudulent activities. The application is equipped with a user-friendly interface, allowing users to input transaction details and receive real-time fraud assessments. By employing a robust backend framework and a responsive frontend, the application ensures seamless interaction and effective data management. Additionally, the project emphasizes data security and user privacy, adhering to best practices in web development. The outcome is a comprehensive solution that enhances the integrity of digital transactions and provides users with confidence in their financial activities.
### More Machine Learning Projects : https://youtube.com/playlist?list=PL5g-9zkOohaGxmuncTm_PF8B7LCwikSPg&si=963yxU_7K8zZJR88
### Need Code, Documents & Explanation video ?
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### Youtube Video : https://youtu.be/uzVdxlG1gIY?si=7-L7cad6Swb51qOx