BudgetMaxxing is a Python-based budgeting app built to help college students take control of their money — no spreadsheets, no guilt trips, just clarity.
Between tuition, food, rent, and social life, it’s easy for students to overspend without realizing it.
BudgetMaxxing connects securely to your bank accounts or lets you upload bank statements manually, then analyzes your transactions to provide insights, alerts, and personalized advice — all in one place.
College students often juggle:
- Multiple accounts and inconsistent income
- Tuition, rent, subscriptions, and social expenses
- Little time to track it all
BudgetMaxxing solves this by:
- Automatically importing and categorizing bank data
- Showing clear spending and income trends
- Providing AI-generated financial insights
- Sending alerts when you’re close to overspending
- Offering flexibility — connect your bank or upload statements manually
💡 The goal: make budgeting feel modern, simple, and actually helpful.
Backend
- Python
- FastAPI (REST API)
- SQLAlchemy (ORM)
- PostgreSQL (production) / SQLite (local)
Integrations
- Plaid — secure bank linking (live transactions, balances)
- Veryfi / Mindee — OCR for receipts & PDFs
- OpenAI / Gemini — natural language financial insights
Authentication
- JWT-based authentication
- bcrypt password hashing
- Secure environment variables for tokens
Frontend (Planned)
- React or Next.js dashboard
- Chart.js or Recharts for visual analytics
Deployment
- Backend: Render / Railway / Fly.io
- Frontend: Vercel / Netlify
- Database: PostgreSQL (Supabase / Railway)
- Connect your bank with Plaid for real-time transactions.
- View balances, accounts, and categorized spending across all institutions.
- Read-only access — BudgetMaxxing never touches your money.
Not comfortable linking your account? No problem.
- Upload CSV, OFX, or PDF bank statements securely.
- Automatic parsing and categorization.
- Custom column mapping for unique formats.
- Duplicate detection to prevent overlapping data.
- Auto-categorizes transactions into:
- Food, Rent, Subscriptions, Transportation, etc.
- Learns from your edits over time.
- Merge or customize categories easily.
- Monthly summaries for:
- Total income
- Total spending
- Net cash flow
- Trend visualizations:
- “Your spending on dining increased 22% since last month.”
- “You saved more than you spent for the first time this semester!”
- Uses OpenAI or Gemini to turn raw data into simple, actionable insights:
- “You’re on track to overshoot your entertainment budget by $45.”
- “Canceling inactive subscriptions could save $130/year.”
- “You have consistent income — consider setting a recurring savings goal.”
- Custom category limits and alerts.
- Notifications when spending spikes unexpectedly.
- Weekly recaps delivered to your dashboard or inbox.
- Create savings goals like “Spring Break Trip — $400.”
- Visualize progress with projections based on your actual spending.
budgetmaxxing/
├─ app/
│ ├─ main.py # FastAPI entrypoint
│ ├─ config.py # Environment + settings
│ ├─ database.py # DB engine + session
│ ├─ models.py # User, Account, Transaction, Goal
│ ├─ schemas.py # Pydantic schemas
│ ├─ routes/
│ │ ├─ auth.py
│ │ ├─ accounts.py
│ │ ├─ transactions.py
│ │ ├─ uploads.py # Manual bank statement uploads
│ │ ├─ budgets.py
│ │ ├─ insights.py
│ ├─ services/
│ │ ├─ plaid_service.py
│ │ ├─ parser_service.py # CSV/PDF parsing
│ │ ├─ ai_service.py
│ │ ├─ categorize.py
│ │ ├─ alerts_service.py
│ ├─ utils/
│ │ ├─ logging.py
│ │ ├─ validators.py
│
├─ tests/
│ ├─ test_auth.py
│ ├─ test_uploads.py
│ ├─ test_transactions.py
│
├─ scripts/
│ ├─ seed_demo_data.py
│
├─ .env.example
├─ requirements.txt
├─ README.md
├─ LICENSE