Revolutionizing Finance with AI-Powered Financial Advisors: Harnessing RAG and LLM Technology #152

Project Name

AI-Powered Financial Advisor

Description

The AI Advisor project is designed to revolutionize how users interact with financial and investment data by integrating advanced AI techniques. At the core of our application is a sophisticated model that employs embeddings and Retrieval-Augmented Generation (RAG) to provide accurate and insightful responses to user queries.

Features:
Embeddings and RAG Integration: The application uses embeddings to convert financial documents into a format that the AI model can understand and process. RAG techniques then enhance the model’s ability to retrieve and generate relevant information based on user inquiries.

Web Application Interface: Users interact with a user-friendly web app that allows them to pose questions about financial and investment options. The AI model analyzes these queries and retrieves precise answers from the embedded dataset. If no specific information is available, the model provides a generalized response based on its training.

Importance: This project represents a significant advancement in AI-driven financial advisory tools, offering users a seamless end-to-end experience from query input to insightful responses. The integration of embeddings and RAG ensures that the information provided is both relevant and contextually accurate, enhancing the overall user experience.

Future Work: We plan to further enhance the AI Advisor by incorporating real-time data injection. This will enable users to upload their own documents directly into the system, which will be immediately embedded and made available for querying. This feature will not only improve the system’s scalability but also ensure that the AI Advisor remains adaptable and up-to-date with the latest user-provided data.

Technology & Languages

• JavaScript
• Java
• .NET
• Python
• AI Studio
• AI Search
• PostgreSQL
• Cosmos DB
• Azure SQL

Project Repository URL

https://github.com/hadil1999-creator/RAG_Hack_team

Deployed Endpoint URL

No response

Project Video

https://drive.google.com/file/d/1ElgrgjysYD6WB6Muhi2xC7IAb-VqUorq/view?usp=sharing

Team Members

osama-swe osama-swe, hadil1999-creator hadil1999-creator, mishba-ai, yusciti, Ahmed-Islam-AI