AI-powered financial dashboard providing a complete view of spending, savings, investments, and personalized insights.
Continuously monitors finances, detects risks, and delivers proactive alerts with AI-generated recommendations.
Displays live global market data, sentiment analysis, and AI-powered insights for informed investing.
AI analyzes stocks using technical indicators, risk scores, and market trends for smarter investment decisions.
Monitors portfolio performance, diversification, and AI-driven rebalancing recommendations in real time.
Generates an AI financial health score using savings, debt, expenses, and goal progress analysis.
Tracks expenses, analyzes spending behavior, and provides AI recommendations to improve financial health.
AI financial assistant answering questions on budgeting, investing, taxes, expenses, and portfolio management.
AI-generated expense report summarizing spending patterns, financial health, savings, and personalized recommendations.
Supabase securely stores user profiles, expenses, categories, receipts, and financial records for real-time AI analysis.

FinPilot

Inspiration

Managing personal finances typically involves switching between multiple applications, one for banking, another for investments, a third for market news, and yet another for financial questions. Each tool solves a specific problem, but none provides a complete view of a user's financial life.

We wanted to build a single platform that combines expenses, investments, market insights, and financial guidance in one place. Instead of just displaying transactions and charts, FinPilot helps users understand their finances through meaningful insights and contextual information.

What It Does

FinPilot combines everyday financial management with investment tracking and intelligent analysis into a single platform.

Expense Management

Automatically imports bank transaction SMS messages on Android
Detects income and expenses
Categorizes transactions
Tracks spending over time
Generates summaries and spending insights
Identifies recurring payments and unusual spending patterns

Investment Tracking

Monitor stock portfolios
Create and manage watchlists
Research companies and market trends
View portfolio performance and allocation
Track sector diversification

Financial Assistant

FinPilot includes an integrated financial assistant that helps users understand their spending patterns, analyze portfolio performance, learn investment concepts, answer questions using their own financial data, and explore budgeting strategies. Instead of providing generic responses, it uses the user's financial information to deliver relevant and personalized guidance.

Personalized Notifications

Rather than showing every market headline, FinPilot highlights news and updates relevant to the user's portfolio and watchlists.

Intelligent Report Generation

FinPilot automatically generates comprehensive financial reports that analyze user data and present actionable insights. The system processes transaction history, portfolio data, and spending patterns to create professional reports with charts and visualizations. Users can export these reports as PDF files for sharing with financial advisors or for personal record keeping.

Goal Tracking

Users can set financial goals such as saving for a car, building an emergency fund, or growing an investment portfolio. FinPilot tracks progress against these goals, estimates completion timelines based on current savings rates, and provides recommendations to accelerate progress.

Smart Alerts

FinPilot monitors financial activity and generates alerts for situations that may require attention, including budget exceedances, unusual spending patterns, portfolio concentration risks, and important market events relevant to user holdings.

Why We Used Codex and GPT

We incorporated OpenAI's Codex and GPT models at different stages of development to accelerate building while enabling intelligent user-facing features.

Codex for Development Acceleration

Codex acted as an engineering partner throughout the development lifecycle. It helped us design the overall system architecture, plan a scalable project structure, and define API flows. In the frontend, Codex accelerated development of React components, responsive layouts, dashboards, and interactive forms. For the backend, it assisted in creating FastAPI endpoints, handling file uploads, organizing API routes, and structuring the application into modular components.

When we encountered issues, Codex helped identify root causes and suggest improvements. It also helped refactor repetitive code into reusable components, making the application easier to maintain. By reducing time spent on repetitive development tasks, Codex allowed us to focus on building better features and improving the overall user experience.

GPT for Intelligence

GPT powers the core intelligence features of FinPilot. When users upload transaction history, GPT analyzes spending patterns, categorizes expenses, identifies recurring payments, and generates personalized financial insights. For stock research, GPT explains companies in simple language by generating business summaries and highlighting strengths and risks.

The Financial Assistant allows users to ask questions about their finances and receive context-aware responses based on their financial information instead of generic answers. GPT also generates personalized financial reports that summarize spending behavior, highlight important insights, and recommend practical actions users can take to improve their financial well-being.

Together, Codex helped us build FinPilot efficiently, and GPT made it intelligent by transforming financial data into meaningful insights and natural conversations.

How We Built It

Frontend

React with Vite for the web application
React Native CLI for the Android mobile application

Backend

Express.js for the API server
TypeScript for type safety
OpenAI APIs for intelligent features
Alpha Vantage APIs for market data

Database

Supabase as the backend-as-a-service platform
PostgreSQL for data storage
Row-Level Security (RLS) for data protection
Authentication via Supabase Auth
Cloud Storage for file handling

Both web and Android applications share the same backend and database, allowing data captured on one device to instantly appear across the platform. The database was designed as the single source of truth, with separate models for transactions, investments, watchlists, alerts, reports, and goals.

Technical Highlights

Automatic SMS Transaction Parsing

Instead of relying on sender IDs, which vary significantly between banks, we analyze the content of each SMS to identify financial transactions. The parser can detect debit and credit transactions, extract amounts, identify merchants, ignore OTP and promotional messages, distinguish balances from transaction amounts, and prevent duplicate uploads. This approach supports multiple banks without maintaining bank-specific rules.

Secure Multi-User Architecture

Financial data is protected using PostgreSQL Row-Level Security (RLS), ensuring users can only access their own records. Authentication and authorization are integrated throughout the application to provide secure access across web and mobile platforms.

Efficient Request Processing

Most requests are handled through database queries and application logic before invoking language models. This keeps responses fast, reduces unnecessary API usage, and lowers operational costs while reserving advanced processing for tasks that genuinely benefit from it.

Data Visualization

FinPilot uses interactive charts and visualizations to help users understand their financial data. Spending distributions, monthly trends, and portfolio allocations are displayed through responsive charts that make complex data easier to interpret.