FinSight AI - Your AI Finance Advisor
Your AI-powered assistant for smarter financial planning, document analysis, and portfolio recommendations.
Created on 26th April 2025
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FinSight AI - Your AI Finance Advisor
Your AI-powered assistant for smarter financial planning, document analysis, and portfolio recommendations.
The problem FinSight AI - Your AI Finance Advisor solves
In today’s rapidly evolving financial landscape, individuals—especially young professionals and first-time investors—face significant challenges in managing their personal finances. Financial literacy levels remain alarmingly low, with many struggling to understand the fundamental principles of investing, taxation, and budgeting. This knowledge gap often leads to poor financial decisions, missed investment opportunities, and vulnerability to fraud or hidden risks embedded in financial documents.
Three core challenges exacerbate this issue:
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Complex Financial Terminology & Jargon
Financial documents such as contracts, balance sheets, invoices, or tax returns are often written in dense legal or accounting language, making them inaccessible to the average person. -
Lack of Personalized Financial Guidance
Existing financial advisory tools and platforms typically offer generic advice or require high fees for personalized assistance. Many users, especially in developing economies, cannot afford professional help. -
Difficulty Starting or Optimizing Investments
With a growing number of financial products available—mutual funds, SIPs, insurance, cryptocurrencies, and more—users are overwhelmed by choices.
Challenges we ran into
Module 1: RAG Chat for Financial Queries
Core Challenges:
- Knowledge Source Curation:
Building and maintaining a relevant, trustworthy, and up-to-date corpus for financial topics. - Accuracy & Compliance:
Avoiding misleading or incorrect advice—especially in regulated domains like tax and investment.
Module 2: Financial Document Inspector
Core Challenges:
- Multi-Document Classification:
Differentiating between invoices, contracts, ITRs, GST returns, and unknown/unsupported files. - Named Entity & Risk Extraction:
Extracting financial terms like interest rate, lock-in period, penalties, and party names accurately.
Module 3: Personal Strategy Generator
Core Challenges:
- Incomplete or Noisy User Input:
Users may not know their exact income or expenses, or may enter vague data (e.g., "low" risk appetite). - Risk-Return Balancing:
Matching financial products with user goals while keeping risk aligned to the stated profile.