SpendSenseAI

Login page
Register page
Dashboard
Expenses
Analytics

💡 Inspiration

Many people track expenses but never receive meaningful insight from them. They know what they spent, but not where money is leaking or how to improve their financial habits.

I wanted to build something that goes beyond basic expense tracking — a system that acts like a personal financial coach and provides actionable guidance.

🚀 What it does

SpendSense AI is an intelligent financial coaching platform that helps users understand spending behavior and make smarter money decisions.

Users can:

Add categorized expenses
View last 7 days and monthly analytics
See daily and category breakdowns
Detect their biggest spending areas
Get AI-assisted predictions of future spending
Receive personalized saving tips
Export all expenses as PDF

The platform turns raw financial data into clear insights.

🛠 How I built it

The system is built using Django for the backend, SQLite for data storage, and HTML/CSS for the frontend.

I implemented:

Multi-user authentication
Expense CRUD operations
Analytics for weekly and monthly spending
Category aggregation
A lightweight AI logic engine for prediction and insights
PDF export functionality

The project is fully deployed on the cloud and accessible online.

🧠 Challenges I ran into

The main challenges were integrating analytics with real-time user data, designing meaningful insight logic without a heavy ML model, and deploying the full Django system online within limited time.

Debugging deployment issues and configuring the live environment were also significant learning experiences.