Dynamic Impact Tool

The Dynamic Impact Tool is an AI-powered Streamlit application designed to help you interactively explore, compare, and understand datasets. It uses LLMs (Groq/Ollama) to generate insights, suggest visualizations, and even chat with your data.

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Features

Upload & Insights

• Upload CSV, Excel, or JSON datasets via file or file path
• Preview a sample of the dataset
• Clean data automatically
• AI-selected important columns
• Manual chart creation with dropdown controls
• Insight suggestions from AI
• Chat with your dataset

Compare Datasets

• Upload two datasets for side-by-side or overlay comparison
• AI + user column selection for each dataset
• Visualize comparisons (bar, line, scatter)
• AI-generated comparison insights
• Ask comparison-based questions to the AI

Summary & Export

• Full summary of AI-generated insights and charts
• Export insights and visuals as:
  • PDF report
  • PPTX presentation
• Includes user chat history, chart metadata, and more

Installation

Option 1: Local Setup

1. Clone the Repository

git clone https://github.com/yourusername/dynamic-impact-tool.git
cd dynamic-impact-tool

2. Create a Virtual Environment

python -m venv .venv
source .venv/bin/activate

3. Install Requirements

pip install -r requirements.txt

4. Set Environment Variables

GROQ_API_KEY=your_groq_key

Option 2: Docker Setup

1. Clone the Repository

git clone https://github.com/yourusername/dynamic-impact-tool.git
cd dynamic-impact-tool

2. Build and Run with Docker Compose

docker compose up --build

This will:

• Build the application container
• Start the required services (MongoDB, MySQL)
• Run the application on http://localhost:8501

Environment Variables

The following environment variables are configured in docker-compose.yml:

• MONGO_URI: MongoDB connection string
• DB_HOST: MySQL host
• DB_USER: Database username
• DB_PASSWORD: Database password
• DB_NAME: Database name
• GROQ_API_KEY: Your Groq API key

Running the App

streamlit run app.py