BazaarAISaathi is an AI-powered platform designed to empower investors with actionable insights into the Indian stock market. Leveraging advanced natural language processing, real-time data analytics, and expert-driven financial modeling, the app delivers personalized investment strategies, market sentiment analysis, and portfolio optimization recommendations.

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Features

  • Financial Independence Planner (FIRE) with personalized plans based on age, salary, and goals
  • Investment Advice Tester using EasyOCR for text extraction and AI validation
  • Fundamental & Technical Analysis with comprehensive company reports and trading strategies
  • Portfolio Analysis with multi-dimensional analysis and stock-wise recommendations
  • Market Research & Competitor Benchmarking using AI-driven industry trend analysis
  • Real-Time Stock Data with live price tracking and trend analysis
  • Hypothesis Testing using historical and real-time market data
  • Investment Books Summary with concise summaries of top 50 investment books

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Prerequisites

  • Python 3.8+ and pip
  • Streamlit for web application framework
  • Perplexity API key (Sonar models)
  • Optional: EasyOCR for image text extraction

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Installation

# Clone the repository
git clone https://github.com/mahanteshimath/BazaarAISaathi.git
cd BazaarAISaathi

# Install dependencies
pip install -r requirements.txt

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Configuration

Create secrets.toml file for Streamlit secrets: 
PERPLEXITY_API_KEY = "your_perplexity_api_key"
# Add other API keys as needed

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Usage

  1. Start the Application: 
    streamlit run Home.py
  2. Access Features:
    • Navigate through different pages for specific functionality
    • Use the main dashboard for overview and navigation
    • Access specialized tools like portfolio analysis, FIRE planning, and tip testing
  3. Run Specific Modules: 
    streamlit run pages/Financial_Independence.py
streamlit run pages/Portfolio_Analysis.py
streamlit run pages/Tip_Tester.py

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Code Explanation

  • Frontend: Streamlit web application with interactive pages and real-time data visualization
  • Backend: Python-based business logic with Pandas for data manipulation and analysis
  • AI Integration: Perplexity Sonar API models (sonar-deep-research, sonar-reasoning-pro, sonar-pro) for financial analysis
  • Data Processing: Real-time stock data fetching, CSV data management, and market insights generation
  • Text Extraction: EasyOCR integration for processing investment tips from images
  • Portfolio Management: Comprehensive portfolio analysis with optimization recommendations
  • Market Analysis: Technical and fundamental analysis with sentiment scoring

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Demo Video