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ā¢ Jul 4
SpendWise AI ā Executive Financial Audit Dashboard
š Project Overview
SpendWise AI is an executive-grade financial intelligence dashboard designed to ingest multi-currency transactional logs and deliver automated data auditing, dynamic runway projections, and algorithmic risk flags. Built with a responsive dark-themed corporate UI, this application transforms raw transaction histories into an interactive compliance and financial health management portal.
š Key Engineering & Analytics Features
Multi-Currency Vectorized Financial Metrics: Separates and aggregates transaction lists based on sign conventions using vectorized arrays. It computes real-time total income, total expenses, and net balance under flexible, user-selected global currencies (including PKR, USD, and GBP).
Predictive Financial Runway Engine: Dynamically calculates an individual or business's average daily burn rate by calculating the elapsed delta between the earliest and latest transaction timestamps. If a dataset lacks chronological entries, a robust safety fallback algorithm takes over, shifting to an adaptive 30-day timeline simulation to maintain zero application runtime failures.
Algorithmic Outlier & Anomalous Spending Audit: Employs a dynamic rule-based statistical thresholding mechanism ($3\times$ the calculated mean expense value). Any transaction breaching this boundary is caught by an automated inspection pipeline, which marks the record with an operational warning (š© RED FLAG: High Spend) and isolates it in a standalone high-risk ledger for immediate review.
Production-Grade Data Resiliency: Engineered with an assertive preprocessing pipeline including automatic column trim operations (df.columns.str.strip()) and strict numeric enforcement (pd.to_numeric with errors='coerce'). This ensures the app safely processes poorly formatted, manually generated, or commercial banking files without crashing.
š ļø Technology Stack
User Interface: Streamlit (Python-powered, data-reactive framework)
Data Processing Layer: Pandas & NumPy (Vector mathematics, database filtering, and string normalization)
Custom Styling: Embedded custom CSS styling overrides for deep-tint metric elements
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