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💹 FinanceGPT
![](https://assets.zyrosite.com/cdn-cgi/image/format=auto,w=480,h=320,fit=crop/Aq2ZDjMMlWHqgKDj/dalla-e-2023-10-20-14.18.57---illustration_-a-detailed-financial-graph-depicted-in-shades-of-blue-and-green-showing-the-ups-and-downs-of-market-trends.-overlaid-on-this-graph-is-a-AR026PWywaTwNZ1g.png)
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A cutting-edge financial chatbot leveraging GPT-4 and data retrieval technologies to offer precise financial insights and guidance.
🎯Objective:
Equip users with relevant financial data and guidance using state-of-the-art AI models.
🔄 Process:
User interacts with the chatbot, seeking financial guidance or data. The input is processed by GPT-4, and relevant financial data is retrieved and presented.
📊 Results:
Efficient and precise financial insights, ensuring users make well-informed decisions.
🚧 Challenges and Solutions:
❓ Challenge: Offering real-time financial data.
✅ Solution: Integration of Pinecone and other databases for on-the-go data retrieval.
🎓 Lessons Learned:
The importance of real-time data in the financial sector.
The efficacy of combining GPT-4 with specialized financial databases.
💻 Technology Stack:
GPT 4 ⠿ Pinecone ⠿ Langchain ⠿ Streamlit ⠿ Python ⠿ Sentence-transformer ML model