Project KAVACH
A one stop platform for Knowledge based AI Verification for Analysis of Cashflow Fraud Handling
Created on 4th February 2024
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Project KAVACH
A one stop platform for Knowledge based AI Verification for Analysis of Cashflow Fraud Handling
The problem Project KAVACH solves
The financial fraud detection system addresses several critical problems within the realm of financial transactions and activities. Here are some key issues that such a system aims to solve:
Unauthorized Access and Identity Theft
Detection of unauthorized access attempts and protection against identity theft
Verification of user identities through various authentication measures
Identification and prevention of fraudulent activities related to credit and debit card transactions
Account Takeover: Early detection of suspicious activities that might indicate an account takeover.
Implementation of multi-factor authentication to secure accounts.
Insider Fraud:Monitoring internal activities to identify and prevent fraud committed by employees or collaborators.
Implementation of access controls and audit trails to track user actions.
Transaction Anomalies
Challenges we ran into
- Shortage of real world-time data for model training,
- Integration of Ml Model using Flask.
- Bigger idea but lesser time, so could only make beta model.
- Overfitting of model.
Tracks Applied (2)
Replit
Replit
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