Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.

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This repository contains files which were used to create the web app for credit card fraud detection.

https://avdhesh-varshney.github.io/online-payment-fraud-detection-app/

Streamlit web app for AI/ML-based anomaly detection of fraud in financial transactions — created for Pandora Paradox @ KIIT E-Summit 2025 by Team Binary Brains.

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Groundbreaking AI-powered app for fraud detection (c'est pas vrai, juste un repo où on publie nos offres d'emploi)

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This repository is for Kaggle Challenge - TalkingData AdTracking Fraud Detection Challenge Can you detect fraudulent click traffic for mobile app ads? https://www.kaggle.com/c/talkingdata-adtracking-fraud-detection

This is a web app made for the online consumers. We all know about the internet shopping frauds that happen today. People in order to sell their product buy people to give good reviews as well as to defame others. To save consumers from all this, the app provides an interface wherein you can give the url of the product you are thinking of buying. The app then, after processing it tells you whether you shoud buy it or not. The implementation is based on the combination of two processes, i.e. fake review detection and sentiment analysis. Firstly, the app scrapes the reviews from the product page and then detects the fake reviews and then on the real reviews it performs sentiment analysis to tell whether to buy the product or not. The Fake Review models firstly has a text feature detector, the output of which is then passed on to a svm classifier. The sentiment analysis model is based on a bag of words and ngram approach. The feature classifier is a 1D conv net. If LSTM or GRU is used , the results will be better.

Detect fraud apps present in google play store using semantic analysis

Fraud SMS Detector is a Kotlin-based app designed to identify fraudulent SMS messages. It offers two modes: Normal Mode, where users can manually input SMS for fraud detection, and Advance Mode, which monitors SMS in real-time, turning the background color red for detected frauds. Stay secure with instant alerts and detailed reports on suspicious m

Mobile app to help college students manage their finances with AI and and fraud detection system made with React Native

Performs sentiment analysis on reviews of applications in Google Play Store and black-box testing on the application

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detecting fraud app using sentiment analysis

it's a ML based Credit-Card-Fraud-detection app

This repository contains a fraud detection model built using Random Forest and deployed with Streamlit for an interactive user experience. The model is trained on a balanced dataset (using SMOTE) to classify fraudulent transactions and allows users to test predictions through a web-based app

The purpose of this project is to identify unusual items by giving a fraud score to each record in product applications using unsupervised learning models. The dataset was downloaded from the blackboard showing the application’s detail information including date, applicant’s name, SSN, address, date of birth and phone number of 100,000 records. Anomalous records per fraud model are more likely to be a signal of identity theft due to the limitation of the size of our data.

Detecting fraud rings in a p2p trust network with high AUC score (better than 9 of 10 well-known algorithms)* using basic and intuitive trust metrics

Credit card history aggregator and fraud detection web app for Software Engineering

A microservice-based system that ingests payment transactions (e.g. bank transfers or credit card payments) as an event stream. This solves a real banking problem by detecting fraudulent transactions in near-real-time.

A simple REST API service to demo transaction in Fraud detection system

This project helps to take reviews from users for a single product or multiple products, and analyse them for positive-negative rating. The same application is used to detect fraud applications and mobile security as well.

Simple spring boot app for fraud detection using neo4j

The Pocket Doctor App simplifies doctor appointments, emergency ambulance booking, and medical history management for seniors, featuring AI-powered fraud detection. Built with Java Spring and Flutter, it ensures seamless healthcare access.

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Fraud Transaction Detection GenAI(CT-GAN) Powered AI App using AWS and ReactJS

This study leverages DistilBERT, a lightweight transformer, to detect fraud in banking by analyzing behavioral transaction sequences. By capturing complex temporal patterns, it identifies anomalies efficiently, offering a scalable, accurate, and real-time approach to financial fraud detection.