Personal Finance Tracker+

A full-stack web application that helps users manage expenses, set monthly budgets, view dashboards, and receive smart suggestions to improve financial habits.

🔧 Features

• User authentication (signup/login)
• Expense management (add, edit, delete, filter, search)
• Budget limits per category with alerts
• Dashboard with pie and line charts
• Smart suggestions using Python (Flask + Pandas)
• Monthly reports stored in PostgreSQL

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🖥️ Tech Stack

• Frontend: Next.js (App Router) + TailwindCSS
• Backend: Node.js + Express
• Database: MongoDB (primary), PostgreSQL (reports)
• Charts: recharts
• AI Service: Python Flask + Pandas

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🚀 Project Structure

See full structure in the project folder.

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🧪 Test Credentials

Email: abhay0701@gmail.com
Password: 12345

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🛠️ How to Run Locally

Backend (Express API)

cd backend
cp .env.example .env
npm install
npm start

Frontend (Next.js)

cd frontend
npm install
npm run dev

Python Service (Flask)

cd python-service
pyhton -m venv venv
venv/scripts/activate/
pip install -r requirements.txt
python app.py

SQL Reports

This is handled by python services

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🌐 Deployment

• Frontend: Render
• Backend + Flask: Render

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📁 Environment Variables

.env.example (backend)

MONGO_URI=
JWT_SECRET=your_jwt_secret
PORT=5000

.env.local (frontend)

NEXT_PUBLIC_API_BASE=http://localhost:5000
NEXT_PUBLIC_ANALYTICS=http://localhost:5001

python-service require .env

POSTGRES_HOST=
POSTGRES_PORT=5432
POSTGRES_DB=postgres
POSTGRES_USER=postgres
POSTGRES_PASSWORD=
EXPRESS_API=http://localhost:5000
JWT_SECRET=your_jwt_secret

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📊 Extra Features

• Alerts at 80% and 100% of budget
• Chart visualizations for spending
• AI-driven savings suggestions

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📹 Demo + Submission

• Live Demo URL)
• GitHub Repository

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Built with ❤️ for the AB YA