wealth-watcher

An app to help you manage your finance and identify potential fraud before it's too late.

MicroStrategy Visualizations

We'll use MicroStrategy Visualizations to help users understand what's going on with their finances easily.

CapitalOne Nessie API

Users can easily link their CapitalOne bank accounts so all their financial data is there as soon as they log in.

AWS Backend

We want to be able to scale up and never leave users without access to the security and peace of mind WealthWatcher provides

Django App

Django app to stitch it all together

Anomaly Detection

Using machine learning we can pinpoint transactions that might be fraudulent

Models

UserProfile

• user_id
• first_name
• last_name
• street_number
• city
• state
• zip

Account

• account_id
• user_id
• balance
• nickname

Purchase

• purchase_id
• date
• merchant
• amount
• account_id
• status

Merchant

• merchant_id
• name
• category
• street_number
• city
• state
• zip

Transfer

• transfer_id
• date
• payer_id
• payee_id
• amount

Rules Based Approach

Distance -- 'distance'

If distance between user and transaction is higher than n, flag as potentially fraudulent

Untrusted Merchant -- 'untrusted-merchant'

If merchant is not on list of known merchants flag as potentially fraudulent

Unusual High Spending -- 'unusually-high-spending'

If spending is unusually high, flag as potentially fraudulent

Unusually High Merchant Spending -- 'unusual-merchant-spending'

If spending is higher than 2x median transaction for vendor, flag as potentially fraudulent