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  Shows salary, budget, expenses, and remaining balance.

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  Displays spending trends and financial behavior analysis.

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  Set budgets for a time period and track spending limits.

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  Breaks expenses into categories to show spending patterns.

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  Get alerts when expenses exceed or approach budget limits.

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  AI assistant that answers finance and budgeting questions.

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  Add expenses with amount, category, and description to track daily spending.

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  Provides AI-based personalized savings and budgeting tips.

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  Home Page

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  View all past transactions with amount, category, and date.

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  Analyze spending against budget and monitor remaining balance.

Inspiration

Managing personal finances is a challenge for many people, especially students and young professionals. Most individuals struggle to track expenses, maintain budgets, and understand their spending habits. I wanted to build a solution that not only records financial transactions but also provides intelligent insights and recommendations to help users make better financial decisions.

What it does

FinPilot AI is an AI-powered personal finance platform that helps users manage their finances efficiently.

Key features include:

• Secure user authentication
• Expense tracking and categorization
• Budget management
• Interactive financial dashboard
• Daily and monthly expense analysis
• AI-powered financial recommendations
• Data storage using SQLite database

The platform provides users with a clear view of their financial activities and helps them improve savings habits through intelligent insights.

How I built it

The application was developed using:

• Python
• Streamlit
• SQLite
• Pandas
• Plotly/Data Visualization Libraries

The frontend was built with Streamlit, while SQLite was used for storing user and transaction data. Pandas was used for data processing and analysis, and visualization libraries were used to generate interactive charts and dashboards. AI-based recommendation logic was integrated to provide personalized financial guidance.

Challenges I ran into

Some of the challenges faced during development included:

• Designing an efficient database structure for financial records
• Creating meaningful expense categorization
• Generating useful financial insights from user data
• Building an intuitive and user-friendly dashboard
• Integrating AI-powered recommendations with financial analytics

Accomplishments that I'm proud of

• Successfully developed a complete finance management application
• Built an interactive analytics dashboard
• Implemented AI-driven financial recommendations
• Created a secure user authentication system
• Combined finance tracking and AI insights into a single platform

What I learned

Through this project, I gained practical experience in:

• Full-stack Python application development
• Database design and management
• Data analysis and visualization
• Building AI-powered applications
• Developing user-centric financial tools

What's next for FinPilot AI

Future enhancements include:

• Predictive expense forecasting
• Smart savings goal tracking
• Financial health scoring
• Investment recommendation features
• Advanced AI financial assistant capabilities
• Cloud deployment and multi-user scalability

Built With

• artificial
• data
• finance
• fintech
• intelligence
• learning
• machine
• pandas
• plotly
• python
• sqlite
• streamlit
• visualization