FinanceGuard AI

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  File Directory

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  Example HTML (This is the About Section)

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  Example Python Function (This function asks the AI for daily financial advise for the user)

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  This is the Main Python Function (Outputs the Dashboard to the user)

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  Example Javascript Functions which generate the financial charts

Inspiration

Many people struggle to manage their money, especially when it comes to understanding financial risks. Most apps either help with budgeting or give basic investment tips — but they don’t explain what the risks are or how to deal with them.

I wanted to build something that could do both: help users track their money and also give smart, easy-to-understand advice using AI. FinanceGuard AI was created to make personal finance simple, smart, and helpful for everyone.

What it does

FinanceGuard AI is a simple and smart personal finance assistant. It helps users:

• Track income, expenses, and savings
• Understand the risks in their financial habits
• Get AI-powered stock investing suggestions
• Learn key financial concepts through clear explanations

How we built it

The app was built using:

• Python and Flask for the backend
• HTML5, CSS3, and JavaScript for the frontend
• SQLite with SQLAlchemy for the database
• LangChain and OpenAI API to power the AI features

Everything was designed to prioritize simplicity and usability for all users.

Challenges we ran into

• Balancing ease of use with powerful features
• Making AI advice clear and relevant for beginners
• Handling and storing data securely
• Creating a modern and intuitive user interface

Accomplishments that we're proud of

• Successfully built a full-stack AI finance app from scratch
• Developed a working risk analysis engine
• Delivered an easy-to-use platform that makes finance less intimidating
• Integrated AI in a meaningful and user-friendly way

What we learned

• How to use LangChain and OpenAI to build practical AI tools
• How to create and manage a Flask application with secure data handling
• The importance of clear design and user experience in finance tools
• How to translate complex financial concepts into simple language

What's next for FinanceGuard AI

• Add user account creation and secure login
• Improve risk analysis with deeper financial modeling
• Enhance investment suggestions with real-time stock data
• Add more budgeting and goal-setting tools

Built With

• css3
• dotenv
• flask
• html5
• javascript
• jinja
• langchain
• openaiapi
• python
• sqlalchemy
• sqlite