Transcription
Hello, my name is Jotar Aditya and I am the team leader of project Zephir.
Our problem statement involves us making a smart AI ML system which can track and detect financial fraud. Financial fraud these days is becoming increasingly complex, often hidden within long chains of transactions that traditional systems may have trouble detecting.
Our system, which is Intellletra, uses graph analytics with machine learning to detect suspicious patterns such as circular transactions, unusual behavior, and hidden fund flows that would otherwise go unnoticed or would be detected with great difficulty using the traditional systems that we already use.
The systems that, uh, our system then assigns risk scores to these financial fund patterns, fund transfer patterns, and it would flag potential fraud accounts and fraud cases and generate automated investigation reports, which was, which would then allow these financial institutions, such as banks or, for example, the financial department of India, to take quick action on these fraudulent accounts.
We aim to improve fraud detection speed and accuracy using Intellletra track and AI integration into this particular domain, which would help financial institutions save time, effort, and bring build greater trust with their customers. Intellletra makes financial systems smarter, safer, and more transparent.
We aim to improve the relation and improve this impact of a secure secure chain on the India of tomorrow. Thank you for listening.