FinCopilot - Stardance

@iamshashwatfr on FinCopilot · 23 days ago

19m 46s logged

Devlog – Retro UI Overhaul
Completely redesigned FinCopilot with a retro Y2K/Windows 98-inspired interface.
1)Replaced the modern dark theme with a warm, nostalgic color palette
and chunky window-style components.
2)Introduced a unified design system with custom fonts, colors, buttons,
inputs, and cards.Restyled every major page while preserving all
existing functionality and application logic.
3)Updated charts, dashboard, sidebar, authentication, simulator, and AI
chat to match the new visual identity.

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@iamshashwatfr on FinCopilot · 27 days ago

16m 16s logged

Devlog 2:

Fixed Supabase database schema and RLS policies.

Added secure environment variable handling and updated .gitignore.

Replaced hardcoded localhost URLs with production environment variables.

Configured CORS and improved backend error handling.

Deployed FastAPI backend on Render.

Deployed React frontend on Vercel.

Connected Supabase, Gemini, frontend, and backend services.

Ship #1 Changes requested

@iamshashwatfr on FinCopilot · 28 days ago

FinCopilot is an AI-based assistant that helps to make financial decisions. It was designed specifically for young people. The features of the product include transaction tracking, financial health score calculation, purchase simulation, and an AI copilot which provides the users with assistance.

What was hard about it?
It was quite challenging to implement reliable cloud persistence within the app. We have worked on the integration of Supabase authentication, database storage and synchronization, and AI functionalities.

What are you proud of?
We are very proud of developing an app that allows not only for budgeting but performs multiple other tasks. It includes personalized financial health score calculation, decision simulator, and AI-based advice providing.

How can people try it out?
Anyone who wants to try the FinCopilot should sign up to the app using their account, create a financial profile, enter the information on transactions, and view the dashboard. They should pay attention to the Decision Simulator and AI Copilot functions.

Note: FinCopilot is currently a local prototype and has not been deployed yet. Testing requires running the frontend and backend locally with a valid Gemini API key and Supabase configuration. The AI features rely on Gemini and may not function without it.

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Try project → See source code →

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@iamshashwatfr on FinCopilot · 28 days ago

45m 41s logged

Many people struggle with tracking expenses, understanding financial health and making good purchase decisions.

So I figured I could make an AI financial assistant that analyzes and provides a dashboard based on your income and expenses. Also creates a roadmap based on your development goals.

So user enters their information such income, rent, food expenses, transport expenses, etc.
Then the system uses:
Financial metrics calculation engine, Net savings calculation, Expense aggregation, Health score generation and provides a dashboard based on that.

Fincopilot also consists of a Decision simulator that answers your questions depending on the financial status using gemini.

For example :

User may ask “Can I afford this bike?”
Then the system takes the purchase amount and provides showing the financial impact, saving impact and the health score effect when the purchase is made. Gemini also generates explanation for why the purchase is affordable/risky/etc.