Transform raw data into actionable insights with AI-powered analytics
DataFlow AI is an enterprise-grade data analysis and visualization platform that empowers businesses and data professionals to make data-driven decisions faster. Leverage the power of artificial intelligence to automatically generate insights, create stunning visualizations, and interact with your data through natural language.
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Before you begin, ensure you have the following installed:
git clone https://github.com/WasifSohail5/DataFlow-AI.git
cd DataFlow-AI# Install dependencies
npm install
# or
yarn install
# Create environment file
cp .env.example .env.local
# Configure your environment variables
# Edit .env.local with your API keys and configuration# Navigate to backend directory
cd backend
# Create virtual environment
python -m venv .venv
# Activate virtual environment
# On Windows:
.venv\Scripts\activate
# On macOS/Linux:
source .venv/bin/activate
# Install Python dependencies
pip install -r requirements.txtcd backend
uvicorn main:app --host 0.0.0.0 --port 8004 --reloadBackend will be available at http://localhost:8004
# In a new terminal window
npm run dev
# or
yarn devFrontend will be available at http://localhost:3000
Transform your data into professional reports with:
- Automated visualization generation based on data types
- Statistical analysis summaries (mean, median, mode, std dev)
- Export functionality (PDF, HTML, Excel)
- Customizable report templates
- Schedule automated reports
Advanced analytics at your fingertips:
- Descriptive Statistics - Comprehensive data summaries
- Correlation Matrix - Identify relationships between variables
- Distribution Analysis - Understand data spread and patterns
- Outlier Detection - Flag unusual data points
- Missing Data Analysis - Identify and handle missing values
- Feature Engineering - Create new derived features
Your intelligent data analyst:
- Natural language understanding
- Context-aware responses
- Query suggestions based on your data
- Export conversation history
- Multi-language support
- Custom prompt engineering
graph LR
A[📁 Upload Data] --> B[🔍 Auto Analysis]
B --> C[📊 Generate Visualizations]
C --> D[💬 Ask AI Questions]
D --> E[📈 Explore Insights]
E --> F[📄 Export Reports]
F --> G[✅ Share Results]
- 📁 Upload Your Data - Support for CSV, Excel, JSON, and SQL databases
- 🔍 Automatic Analysis - AI analyzes your data structure and suggests visualizations
- 📊 Create Visualizations - Generate charts with a single click
- 💬 Interact with AI - Ask questions and get instant answers
- 📈 Discover Insights - Explore patterns, trends, and anomalies
- 📄 Generate Reports - Create professional reports with your findings
- ✅ Share & Collaborate - Export and share with your team
- 📊 Business Intelligence - Track KPIs and business metrics
- 🔬 Research & Academia - Analyze experimental data
- 💰 Financial Analysis - Portfolio analysis and risk assessment
- 📈 Marketing Analytics - Campaign performance and customer insights
- 🏥 Healthcare - Patient data analysis and trends
- 🌐 E-commerce - Sales trends and customer behavior
Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the repository
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
- Follow existing code style and conventions
- Write clear commit messages
- Add tests for new features
- Update documentation as needed
- Ensure all tests pass before submitting PR
This project is licensed under the MIT License - see the LICENSE file for details.
Special thanks to these amazing projects and resources:
- Next.js - The React Framework for Production
- FastAPI - Modern Python Web Framework
- React - JavaScript Library for Building UIs
- Tailwind CSS - Utility-First CSS Framework
- Pandas - Python Data Analysis Library
- Matplotlib & Seaborn - Data Visualization
If you have any questions or need help getting started, feel free to:
- 📧 Email: wasifsohail66@example.com
- 💬 Discussions: GitHub Discussions
- 🐛 Issues: Report a Bug