The Personal Finance Assistant Bot is an AI-driven platform designed to empower users with effective personal finance management tools. Leveraging OpenAI's GPT-4o-mini model, LangChain, and real-time financial data, this bot provides personalized financial advice, asset tracking, and live market insights. Key features include a conversational chatbot, real-time stock performance tracking, daily financial news, interactive budgeting tools, and a Retrieval-Augmented Generation (RAG) system for tailored insights using uploaded financial documents.
Key Objectives:
Financial Knowledge Empowerment: Enable informed financial decision-making with personalized insights.
Real-Time Market Insights: Provide live stock data and financial news for timely updates.
Interactive Tools for Finance Management: Support effective tracking of expenses, savings, and investments.
Enhanced User Experience: Build an intuitive platform for easy personal finance management.
Technologies Used
Programming Language: Python
Framework: Streamlit for interactive web app development
APIs and Libraries:
OpenAI API: For generating personalized financial responses.
LangChain (RAG): Processes user-uploaded documents for context-aware responses.
Yahoo Finance (yfinance): Fetches live stock prices and historical data.
NewsAPI: Retrieves trending financial news.
PyPDF2: Processes PDF documents for custom insights.
Chroma Vector Store: Manages document-based embeddings for RAG.
CoinGecko API: Provides cryptocurrency pricing.
Data Visualization: Streamlit's charting and Matplotlib.
Environment Management: dotenv for secure environment variable handling.
Key Components
Financial Data Input: Users provide financial details (e.g., income, expenses) to personalize recommendations.
Document Upload and RAG: Users upload PDFs like statements or plans, which the bot processes to provide specific, context-driven insights.
Live Market Data: Real-time stock prices are available through the asset tracker, including historical charts and alerts for price changes.
Interactive Chatbot: The GPT-4-powered chatbot responds to finance queries using user data, RAG insights, and live market info.
Financial News Updates: Displays top financial news to keep users informed about market trends.
Financial Tools: Includes budgeting and expense tracking to calculate savings and manage spending.
Impact
The bot aims to:
Empower Financial Decision-Making: Provides data-driven recommendations aligned with user goals.
Increase User Engagement: Real-time updates and interactive tools keep users actively managing their finances.
Enhance User Confidence: Encourages informed financial management for improved financial health.
Features
1. Financial Details Input
Purpose: To personalize recommendations based on user-provided data.
Functionality: Users input savings, expenses, and goals, which inform tailored chatbot responses.
2. PDF Upload with RAG
Purpose: Customizes insights using user-uploaded financial documents.
Functionality: Extracts data from PDFs (e.g., statements), which feeds into the RAG system for relevant, user-specific responses.
3. Daily Financial News
Purpose: Keeps users informed of market developments.
Functionality: Displays top daily news headlines, clickable for full articles.
4. Asset Tracker with Real-Time Data
Purpose: Enables users to monitor asset performance with live data.
Functionality: Displays real-time stock prices, historical charts, and alerts for significant price changes.
5. Interactive Chatbot with RAG
Purpose: Provides personalized responses using real-time data and document-based insights.
Functionality: The chatbot integrates user financial data, live stock info, and uploaded documents for well-rounded advice.
6. Budgeting and Savings Tools
Purpose: Assists with tracking monthly savings and expenses.
Functionality: Users input income and expenses; the tool calculates and displays monthly savings or deficits.
Future Improvements
Expanded Asset Coverage: Include foreign exchanges and additional asset classes.
Advanced Data Visualization: Add a news ticker and customizable dashboards.
Enhanced Personalization: Support multi-language options and secure user accounts for saved preferences.
Macro Financial Monitoring: Display economic indicators and market sentiment analysis.
Financial Education: Offer tutorials and live webinars for skill-building in personal finance.
Conclusion
The Personal Finance Assistant Bot combines personalized advice, live market data, and interactive financial tools to empower users in managing their finances. By leveraging RAG, real-time stock updates, and AI-powered insights, the bot simplifies complex finance topics, making financial management more accessible and effective.
This project highlights the power of AI in transforming financial literacy and accessibility, contributing to healthier financial habits and increased user engagement.
