Aurum

Aurum

Your personalised chatbot for IPO and Mutual Fund investments

Created on 26th October 2024

Aurum

Aurum

Your personalised chatbot for IPO and Mutual Fund investments

What’s your problem statement?

Investments: There's a million sources of financial advice and investment recommendations on the internet. Can people have their own personalized AI-powered one?

The problem Aurum solves

Aurum aims to be a personalised investment recommendation assistant which aims to streamline investments into IPOs and Mutual Funds (for now). The AI powered chatbot can analyse upcoming IPOs (currently past IPOs) and live Mutual Funds to provide recommendations to the user and an in depth breakdown of how to structure investments given an amount of money. We had bigger plans of integrating a much more advanced multimodal system but had to truncate due to time constraints and running into unforseen roadblocks (further described in Challenges). As a system, Aurum has 2 parts, the live data API and the chatbot. The chatbot supports detecting user's term of investment based on their first query and fetches 4 suitable Mutual Funds and IPOs from the API. This acts as the base context for phi-3.5-mini model from Microsoft. We are using HuggingFace's free Inference API to power our chatbot. Thats all for now!

Challenges we ran into

Everything started off great and we were on high morales for the most of this hackathon. However, the biggest challenge we faced was when we had to build an API which would provide predicted IPO prices and mutual funds based on user requirements in reasonable time. Our chatbot has an efficiency of 5-10s for upto 500 tokens of response along with the latency added by our API. This is why we decided to skip interactive fetching and stick to importing context only once, after the first user prompt. Given more time, we would have definitely found a way around it and hope to improve Aurum in the future as well. We also had plans of integrating more assets like Gold ETF, personalised SIP plans and a special section for VCs to connect with budding Startups through our chatbot itself. However, this shall stay in future scope for now as we have ran out of time. Also, another big issue we faced was for finding premade datasets and had to spend a few hours scraping 1300 mutual fund NAVs. Rest everything was well and we hope to be a part of next MumbaiHacks!

Tracks Applied (1)

Finance - Student

Our project aims to give a conversational interface to multiple models that can provide investment recommendations and f...Read More

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