FutureFortune Advisory

FutureFortune Advisory

Empowering Financial Decisions: AI-Powered Investment & Insurance Advisory for India

Created on 26th October 2024

FutureFortune Advisory

FutureFortune Advisory

Empowering Financial Decisions: AI-Powered Investment & Insurance Advisory for India

The problem FutureFortune Advisory solves

Managing personal finances, especially investments and insurance, can be complex and overwhelming for many individuals. People often struggle with understanding the various options available, calculating potential returns, and making informed financial decisions.
Our platform simplifies this process by providing:

  1. AI-driven financial advice: Personalized recommendations for investments and insurance based on the user’s financial profile.
  2. Easy-to-use calculators: Tools like SIP calculators make complex financial calculations effortless.
  3. Real-time stock market insights: Users can stay updated with the latest stock trends and make informed investment choices.
    By democratizing access to investment and insurance advisory, we empower users to make smarter, faster, and safer financial decisions.

Challenges we ran into

While building this project, we faced several challenges:

1.API Integration: One of the biggest hurdles was integrating real-time stock data from the Alpha Vantage and BSE APIs. Understanding their response structure and managing request limits required significant testing. We resolved this by carefully replacing API with BSE module which is present in python and optimizing the code to handle the data more efficiently.

2.Dialogflow Integration: Connecting the chatbot to provide personalized investment advice was initially tricky due to authentication issues. We resolved this by creating a new config file for Dialogflow credentials and securing it properly using .gitignore.

  1. One more challenge was the stocls listing page, fetching the stocks from BSE data library was not an easy task the site was unable to load for couple of minutes and crashed finally. We resolved this issue by Multithreading in python, using ThreasPoolExecutor from concurrent.futures was one of the best decisions we made.

Tracks Applied (1)

Democratizing Insurance and Investment Advisory for Indians

Our project makes investment and insurance advice accessible to everyone. It uses simple tools like a SIP calculator and...Read More

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