financial-data-analyst

Claude Financial Data Analyst

A sophisticated Next.js application that combines Claude's capabilities with interactive data visualization to analyze financial data via chat.

Features

• Intelligent Data Analysis: Powered by Claude (Using Claude 3 Haiku & Claude 3.5 Sonnet)
• Multi-Format File Upload Support:
  • Text/Code files (.txt, .md, .html, .py, .csv, etc)
  • PDF documents (Regular PDF with text, scanned documents not supported)
  • Images
• Interactive Data Visualization: Based on the context and data analyzed, Claude can generate the following charts:
  • Line Charts (Time series data & trends)
  • Bar Charts (Single metric comparisons)
  • Multi-Bar Charts (Multiple metrics comparison)
  • Area Charts (Volume/quantity over time)
  • Stacked Area Charts (Component breakdowns)
  • Pie Charts (Distribution analysis)

Getting Started

Prerequisites

• Node.js 18+ installed
• Anthropic API key (For Claude integration)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/financial-ai-assistant.git
cd financial-ai-assistant

2. Install dependencies:

npm install

3. Create a .env.local file in the root directory:

ANTHROPIC_API_KEY=your_api_key_here

4. Run the development server:

npm run dev

Open http://localhost:3000 with your browser to see the result.

Technology Stack

• Frontend:

  • Next.js 14
  • React
  • TailwindCSS
  • Shadcn/ui Components
  • Recharts (For data visualization)
  • PDF.js (For PDF processing)

• Backend:

  • Next.js API Routes
  • Edge Runtime
  • Anthropic SDK

Usage Examples

The assistant can help with various financial analysis tasks:

1. Data Extraction & Analysis:

   • Upload financial documents
   • Extract key metrics
   • Analyze trends and patterns

2. Visualization Creation:

   • Generate charts based on data
   • Customize visualizations
   • Compare multiple metrics

3. Interactive Analysis:

   • Ask questions about the data
   • Request specific visualizations
   • Get detailed explanations

Interesting Use Cases

While primarily designed for financial analysis, the AI assistant can be adapted for various intriguing applications:

1. Environmental Data Analysis:

   • Analyze climate change trends
   • Visualize pollution levels over time
   • Compare renewable energy adoption across regions

2. Sports Performance Tracking:

   • Upload athlete performance data
   • Generate visualizations of key metrics
   • Analyze trends and patterns in team statistics

3. Social Media Analytics:

   • Process engagement data from various platforms
   • Create charts showing follower growth and interaction rates
   • Analyze sentiment trends in user comments

4. Educational Progress Tracking:

   • Upload student performance data
   • Visualize learning progress over time
   • Compare different teaching methods or curriculums

5. Health and Fitness Monitoring:

   • Process personal health data from wearables
   • Create charts for metrics like steps, heart rate, and sleep patterns
   • Analyze long-term health trends and provide insights

You can even use charts and images to create interesting results, like the ability to see what's most common inside a picture using a pie chart.