Fintellify

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  know the jargon page

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  graphs related to the document uploaded.

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  sample output after uploading a pdf of financial annual report.

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  document upload page.

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  user authentication page.

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  the main page

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  the main page

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  the main page

Inspiration -> Financial statements can be tough to understand for a normal person. So, we decided to use AI to solve this issue.

What it does -> It uses AI agent and integrated large language model to simplify the complex financial statements for normal people.

How we built it -> Built the backend first , integrated LLM in it , made a room for user authentication then made the frontend .

Challenges we ran into -> Had to find a way for cookie interaction from frontend to backend.

Accomplishments that we're proud of -> Successfully integrated the LLM and search engine API.

What we learned -> Learnt a couple of things including LLM integration and search API integration, discovered new libraries for styling.

What's next for Fintellify -> Hopefully , we could scale it , increase the efficiency and accuracy of the AI and add more advanced features to it.

Built With

• amazon-web-services
• express.js
• gemini
• javascript
• langchain
• plotly
• postgresql
• prisma
• react
• redis
• shadcn
• tailwind
• tavily
• vercel