AI Data Analyst

sample working demos

https://youtu.be/M2rnEIAOEQg https://youtu.be/E_ioIjX4nzM

Overview

AI Data Analyst is an open-source platform designed to automate and enhance data analysis workflows using advanced AI agents. It enables seamless integration of data ingestion, processing, visualization, and reporting, empowering analysts and organizations to unlock actionable insights with minimal manual intervention.

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Features

• Automated Data Ingestion: Effortlessly import CSV, database, and API data sources.
• Intelligent Analysis: Leverage AI agents for statistical analysis, anomaly detection, and predictive modeling.
• Natural Language Queries: Interact with your data using conversational AI.
• Visualization: Generate beautiful charts and dashboards.
• Extensible Architecture: Modular agent system for custom workflows.
• Secure & Scalable: Enterprise-ready with environment-based configuration and robust backend.

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Getting Started

Prerequisites

• Python 3.11+
• pip

Installation

# Clone the repository
$ git clone https://github.com/pushpitkamboj/AIDataAnalyst
$ cd AIDataAnalyst

# Install dependencies
$ pip install -r pyproject.toml

Configuration

Copy .env.example to .env and update the values as needed:

cp .env.example .env

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Usage

Run the main agent:

python main.py

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Architecture

for more detailed documentation, refer to https://docs.google.com/presentation/d/1Y1Hrf8_KEyrQQWmSvefEJwINP4l3rXOz/edit?usp=sharing&ouid=103413741594923457323&rtpof=true&sd=true

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