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title: DataMind AI
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false
---
# 🧠 DataMind AI — Intelligent Data Analyst
An AI-powered data analysis dashboard that automatically performs EDA, generates 20+ chart types, provides AI-driven insights, forecasting, and an interactive chat analyst.
## 🚀 Quick Start
### 1. Install Dependencies
```bash
pip install -r requirements.txt
```
### 2. Set Your Groq API Key
**Windows (PowerShell):**
```powershell
$env:GROQ_API_KEY = "your_groq_api_key_here"
```
**Windows (CMD):**
```cmd
set GROQ_API_KEY=your_groq_api_key_here
```
**Mac/Linux:**
```bash
export GROQ_API_KEY="your_groq_api_key_here"
```
### 3. Run the Application
```bash
python app.py
```
### 4. Open in Browser
Navigate to: **http://localhost:5000**
## 📊 Features
- **CSV Upload** — Drag-and-drop any CSV file
- **Simulated Datasets** — Pre-built Retail Sales and E-Commerce datasets
- **Automated EDA** — Missing values, duplicates, outliers, correlations
- **20+ Chart Types** — Line, bar, pie, heatmap, waterfall, radar, BCG, RFM, and more
- **AI Chat Analyst** — Ask questions about your data in natural language
- **Forecasting** — Time series forecasting with confidence intervals
- **Key Insights** — AI-generated actionable business insights
- **What-If Analysis** — Scenario simulation with adjustable parameters
## 🛠️ Tech Stack
- **Backend**: Python, Flask
- **Frontend**: HTML, CSS, JavaScript (single-page app)
- **AI**: Groq API (LLaMA 3.3 70B)
- **Charts**: Matplotlib, Seaborn
- **ML**: scikit-learn (KMeans), mlxtend (Apriori)
- **Forecasting**: statsmodels (Exponential Smoothing)
## 📁 Project Structure
```
├── app.py # Flask backend
├── datasets.py # Simulated dataset generators
├── eda.py # EDA pipeline
├── charts.py # Chart orchestrator
├── charts_core.py # Core chart functions (12 types)
├── charts_advanced.py # Advanced chart functions (11 types)
├── ai_analyst.py # Groq API integration
├── templates/
│ └── index.html # Frontend SPA
├── requirements.txt # Dependencies
└── README.md # This file
```
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