Fintron

Project Fintron serves as an armour around the financial world providing first line of defense against global crisis, by predicting and effectively managing supply chain and resources during global crisis. It is a web application providing insights for global crisis management using Tiger Graph analytics and Graph Neural Networks.

Introduction

Throughout history, we have seen how one country’s decisions and behaviors can affect others, if not the world. The most recent example is the crisis of 2007/08, when the US housing market collapsed and triggered the whole world to go into a crisis. Another - more recent - example is that of the insurgence of COVID-19 pandemic. Besides these, there are myriad other disruptive crises among world countries. Since history tends to repeat itself, one cannot help but wonder if one could minimize the effects of another country’s crisis on their own population.

Problem Statement

Given that all countries are connected to each other, construct a graph to see how much one country’s crisis will affect the other. Treat countries as nodes and their relationships as links. Leverage the different socio-economic and macroeconomic aspects that were captured for each country throughout time in order to predict a crisis, or, to predict what other countries will be affected by one country’s crisis. This would help countries minimize the effects of another country’s crisis on their own citizens.

Features

• Predict impact of global crisis on each countries
• Businesses as sub-entities, to analyse impact of the business in crisis
• Provide optimised resource procurement strategy during crisis
• Interactive and easy to use interface
• Cross platform and integration into existing workflows and applications using API
• Alerts on global events impacting supply chain
• Conversational AI based interactive chatbot interface
• Track anomaly patterns
• Optimised logistics and cost management

Target Users

• Government and World organisations
• Business entities

Impactfulness:

Recent Covid-19 induced global economic crisis led to severe disruption of supply chain causing significant disruption in the whole economy. Recent global crisis and wars have led to organisations and governments to rethink Global crisis management and economics resource management strategies. Our project fintron improves ability of organisations, governments and business entities to predict and strategies imports and exports to offer lowest prices and most efficient logistic management, accounting loss of sources during global crisis.

Innovativeness

Fintron uses TigerGraph analysis to provide insights into the distribution of import/export of a resource. It utilizes Deep analytic insights on data using Graph Neural Networks over TigerGraph database to provide accurate and optimal results.

Ambitiousness

Fintron pushes scope of graph database to overlay Graph Neural Networks to provide detailed insights and predictions on global crisis, and resource procurement strategies.

Applicability

Fintron targets userbase of business organisations, governments and world organisations. These entities encompassed very large market size, and would utlise capabilites of fintron for crisis predictions and resource management.

Built With

• bootstrap
• django
• python
• tigergraph