Huat Ah

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  Monthly Budget Page

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  Home Page

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  Jwt Tokenization

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  GPT Prompt Input Page

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  User Dashboard Page (Moderator View only)

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  Login Page

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  Signup Page

Inspiration

As young adults who are starting to become independent with our own money, we find it difficult to manage our expenses and savings. However, manual expense tracking applications that can help us with our problem are a hassle and often lead to discrepancies and missing entries. Therefore, we decided to create HUAT which streamlines this process and also provides extra features that other automated expense tracking applications do not have.

What it does

Prototype version: Accepts user inputs as a conversational sentence and detect intention of whether the transaction is an income or expenditure, then parsing it into DB for display on frontend

How we built it

React- Springboot- MS SQL DB - with ChatGPT API integration

Challenges we ran into

Time constraints for a fullstack project, Version control during group collaboration, Prompt Engineering ChatGPT API

Accomplishments that we're proud of

Full-stack framework completed, with additional backend methods yet to be implemented on frontend, allowing for easy scaling and expansion into upcoming Dev Version of expanding AI implementation

What we learned

Implementation of AI in daily life, pre-empt prompt engineering to increase accuracy of AI parsing

What's next for Huat Ah

Current Dev Prototype: Able to detect user intention through input prompt and link to backend methods to create income or expenditure transactions Upcoming Dev Version: AI budget forecasting based on upcoming events, past 3 months breakdown of overall budget (Savings, Budget, Income, Expenditure), AI Speech to Text integration to remove user need to type prompts for AI calls. Future Dev Version: Linking with daily use-case through bank-provided API calls (OCBC, DBS etc.) for more seamless user experience

Built With

• chatgptapi
• mssql
• react
• springboot