💰 Smart Expense Tracker

🔥 Build a complete Expense Management System using Python, Pandas & Streamlit!

📌 Part of: Super Sunday Project Series 🚀 👉 New project every Sunday 👉 Learn by building real-world projects

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⭐ Star this repository 👤 Follow me on GitHub for more projects 📺 Watch full video: (Add your YouTube link here)

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🎥 Project Preview

A clean and interactive Expense Tracking Dashboard built using Python and Streamlit. This application allows users to manage daily expenses, track spending patterns, and analyze financial behavior in real-time.

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✨ Features

➕ Add Expenses

• Add daily expenses with date, category, and description

✏️ Update/Delete Expenses

• Edit or remove any existing record

🔍 Filter Data

• Filter expenses based on date range and categories

🧠 Smart Insights Dashboard

• Top spending category
• Average daily spending
• Last 7 / 15 days expense analysis
• Smart alerts for high spending

🎯 Budget Tracker

• Set monthly budget
• Track spent and remaining amount

📂 Upload / Download Data

• Upload CSV file
• Export your data anytime

📊 Data Visualization

• Category-wise bar chart
• Monthly spending trend

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🔗 Live Demo

👉 (Add your Streamlit deployment link here)

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📸 Screenshots

1. Add Expenses Screen

2. Update and Delete :

   

3. Filter Data

4. Insight expenses

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🚀 Getting Started

🔧 Prerequisites

Make sure you have installed:

• Python 3.8 or above
• pip (Python package manager)

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⚙️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/YOUR_USERNAME/expense-manager.git
cd expense-manager

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2️⃣ Create Virtual Environment

python -m venv venv

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3️⃣ Activate Virtual Environment

👉 Windows:

venv\Scripts\activate

👉 Mac / Linux:

source venv/bin/activate

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4️⃣ Install Dependencies

pip install -r requirements.txt

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▶️ Run the Application

streamlit run expense.py

👉 App will open automatically in your browser 👉 Default URL: http://localhost:8501

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📊 Data Format

Your CSV file should follow this format:

Date,Amount,Category,Description
2024-01-01,500,Food,Lunch
2024-01-02,1200,Shopping,Clothes

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🛠️ Tech Stack

• Frontend/UI: Streamlit
• Backend Logic: Python
• Data Processing: Pandas
• Storage: CSV File System

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💡 Key Learning Outcomes

• Streamlit UI development
• Session State handling
• CRUD operations in Python
• Data filtering using Pandas
• Real-time dashboard creation
• Data visualization

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📁 Project Structure

expense-manager/
│
├── expense.py
├── requirements.txt
├── README.md
└── expenses.csv (auto-generated)

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🚀 Future Enhancements

• 🔐 User Authentication (Login System)
• ☁️ Cloud Database Integration (MongoDB / Firebase)
• 📱 Mobile Responsive UI
• 🤖 AI-based Expense Suggestions

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👨‍💻 Developed By

Mahesh Verma Founder - Study Trigger 🚀

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