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Submissions for HackX Hackathon by Scaler Academy
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Confused_Coders - Fraud Detection - Finance #182

Open Ravi43chaurasiya opened 2 years ago

Ravi43chaurasiya commented 2 years ago

Before you start, please follow this format for your issue title: TEAM NAME - PROJECT NAME - THEME NAME

ℹ️ Project information

  1. Your Theme : Finance

  2. Project Name: Fraud Detection

  3. Short Project Description: Fraud Detection in Finance

  4. Team Name: Confused_Coders

  5. Team Members: Ravi kumar Chaurasiya https://github.com/Ravi43chaurasiya , Saurabh Kumar Singh https://github.com/saurabhforgoogle, Zafeer Ahamad https://github.com/Zafeerahamad

  6. Demo Link: https://drive.google.com/file/d/12Q6P7WwqZCw9MEBRDq6oCoMg_1JaWiFx/view?usp=sharing

  7. Presentation Link: https://docs.google.com/presentation/d/1p0lVQ2NrOwrMNAVLYExvaRPlqyu4toOj/edit?usp=sharing&ouid=101962085878928130031&rtpof=true&sd=true

  8. Repository Link: https://drive.google.com/drive/folders/1MQzq7iQYF-n4lfWngdhbSuZ9QOwr3uSO?usp=sharing

🔥 Your Pitch

Fraud is typically involves multiple repeated methods, making searching for patterns a general focus for fraud detection. Fraud detection can be separated by the use of statistical data analysis techniques or artificial intelligence (AI). Fraud can be committed in different ways and different settings. For example, fraud can be committed in banking, insurance, government and healthcare sectors. Businesses that are most at risk for financial fraud should have at least some fraud detection measures in place. These can include banks, credit card companies, insurance firms, and businesses that conduct significant online transactions. While any business carries some risk of being defrauded, companies with large transaction amounts, high numbers of transactions, or contactless business models are at a greater risk for fraud.

🔦 Any other specific thing you want to highlight?

No

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