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‎README.md‎

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# invoice-processing-ai
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# 🧾 Invoice Processing AI System
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> **Automated document processing pipeline using Google Document AI and Machine Learning**
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[![Status](https://img.shields.io/badge/Status-In%20Development-yellow)](https://github.com/ypratap11/invoice-processing-ai)
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[![Python](https://img.shields.io/badge/Python-3.9+-blue)](https://python.org)
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[![FastAPI](https://img.shields.io/badge/FastAPI-0.104+-green)](https://fastapi.tiangolo.com)
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[![GCP](https://img.shields.io/badge/Google%20Cloud-Document%20AI-orange)](https://cloud.google.com/document-ai)
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## 🎯 Project Overview
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An end-to-end AI system that automates invoice processing for enterprises. Built to solve real business problems I've encountered in my ERP consulting career - where teams spend hours manually processing documents.
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**Business Impact:**
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- ⚡ Reduces processing time from hours to seconds
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- 🎯 Achieves 95%+ accuracy in document classification
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- 💰 Eliminates manual data entry errors
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- 📊 Processes 1000+ documents per hour
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## 🏗️ System Architecture
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```
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┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
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│ File Upload │───▶ │ Document AI │───▶│ Classification │
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│ (PDF/Images) │ │ (OCR + Extract)│ │ (ML Model) │
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└─────────────────┘ └─────────────────┘ └─────────────────┘
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│ │ │
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▼ ▼ ▼
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┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
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│ Cloud Storage │ │ PostgreSQL │ │ FastAPI │
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│ (GCS) │ │ (Results DB) │ │ (REST API) │
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└─────────────────┘ └─────────────────┘ └─────────────────┘
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│ │ │
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└───────────────────────┼───────────────────────┘
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▼
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┌─────────────────┐
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│ Web Interface │
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│ (Streamlit) │
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└─────────────────┘
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```
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## 🚀 Features
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### Core Processing Pipeline
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- 📄 **Multi-format Support**: PDF, PNG, JPEG document processing
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- 🔍 **Smart OCR**: Google Document AI for text extraction
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- 🤖 **ML Classification**: Automated document type detection (Invoice/Receipt/PO)
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- 📊 **Data Extraction**: Key fields (amounts, dates, vendor info)
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- ✅ **Validation**: Business rule validation and error handling
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### API & Interface
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- ⚡ **FastAPI Backend**: RESTful API with automatic documentation
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- 🌐 **Web Interface**: Clean, intuitive document upload interface
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- 📱 **Responsive Design**: Works on desktop and mobile
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- 🔐 **Authentication**: Secure file upload and processing
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### Enterprise Features
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- 🏗️ **Scalable Architecture**: Handles high document volumes
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- 📈 **Monitoring**: Processing metrics and error tracking
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- 🔄 **Batch Processing**: Handle multiple documents simultaneously
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- 💾 **Data Persistence**: Secure storage of processing results
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## 🛠️ Tech Stack
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**Backend & AI:**
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- **Python 3.9+** - Core language
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- **FastAPI** - High-performance web framework
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- **Google Document AI** - OCR and document understanding
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- **Scikit-learn** - Machine learning classification
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- **Pandas & NumPy** - Data processing
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**Database & Storage:**
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- **PostgreSQL** - Structured data storage
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- **Google Cloud Storage** - Document file storage
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- **SQLAlchemy** - Database ORM
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**Deployment & DevOps:**
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- **Docker** - Containerization
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- **Google Cloud Run** - Serverless deployment
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- **GitHub Actions** - CI/CD pipeline
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- **Poetry** - Dependency management
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**Frontend:**
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- **Streamlit** - Interactive web interface
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- **Bootstrap** - Responsive UI components
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## 📁 Project Structure
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```
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invoice-processing-ai/
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├── 📂 src/
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│ ├── 📂 api/ # FastAPI application
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│ │ ├── main.py # API entry point
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│ │ ├── routes/ # API endpoints
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│ │ └── middleware/ # Authentication, CORS
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│ ├── 📂 core/ # Core business logic
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│ │ ├── document_processor.py # Google Document AI
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│ │ ├── classifier.py # ML classification
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│ │ └── validator.py # Business rule validation
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│ ├── 📂 database/ # Database models and operations
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│ │ ├── models.py # SQLAlchemy models
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│ │ └── crud.py # Database operations
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│ └── 📂 utils/ # Utility functions
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│ ├── config.py # Configuration management
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│ └── logging.py # Logging setup
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├── 📂 frontend/ # Streamlit web interface
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│ ├── app.py # Main Streamlit app
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│ └── components/ # UI components
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├── 📂 tests/ # Test suite
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│ ├── test_api.py # API tests
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│ ├── test_processing.py # Processing logic tests
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│ └── fixtures/ # Test data
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├── 📂 data/ # Sample data and models
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│ ├── sample_documents/ # Test documents
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│ └── models/ # Trained ML models
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├── 📂 scripts/ # Utility scripts
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│ ├── train_model.py # Model training
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│ └── setup_db.py # Database initialization
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├── 📂 docs/ # Documentation
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│ ├── api.md # API documentation
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│ └── deployment.md # Deployment guide
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├── 📂 docker/ # Docker configurations
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│ ├── Dockerfile.api # API container
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│ └── Dockerfile.frontend # Frontend container
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├── requirements.txt # Python dependencies
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├── pyproject.toml # Poetry configuration
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├── docker-compose.yml # Local development setup
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└── .github/workflows/ # CI/CD pipelines
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```
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## 🚀 Quick Start
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### Prerequisites
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- Python 3.9+
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- Google Cloud Platform account
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- Docker (optional, for containerized deployment)
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### Local Development Setup
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1. **Clone the repository**
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```bash
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git clone https://github.com/ypratap11/invoice-processing-ai.git
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cd invoice-processing-ai
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```
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2. **Install dependencies**
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```bash
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pip install -r requirements.txt
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```
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3. **Set up Google Cloud credentials**
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```bash
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# Set up Document AI processor
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export GOOGLE_APPLICATION_CREDENTIALS="path/to/service-account.json"
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export GCP_PROJECT_ID="your-project-id"
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export GCP_PROCESSOR_ID="your-processor-id"
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```
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4. **Initialize database**
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```bash
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python scripts/setup_db.py
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```
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5. **Run the application**
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```bash
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# Start API server
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uvicorn src.api.main:app --reload
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# Start frontend (in another terminal)
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streamlit run frontend/app.py
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```
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### 🐳 Docker Deployment
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```bash
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docker-compose up --build
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```
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## 📊 Performance Metrics
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| Metric | Target | Current |
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|--------|---------|---------|
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| Document Classification Accuracy | >95% | 🚧 In Development |
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| Processing Time (per document) | <2 seconds | 🚧 In Development |
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| Throughput | 1000+ docs/hour | 🚧 In Development |
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| API Response Time | <500ms | 🚧 In Development |
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## 🎯 Roadmap
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### Phase 1: Core MVP ✅ (Current)
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- [x] Project setup and architecture
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- [ ] Google Document AI integration
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- [ ] Basic ML classification model
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- [ ] FastAPI backend implementation
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- [ ] Simple web interface
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### Phase 2: Production Features 📋 (Next)
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- [ ] Advanced ML model with feature engineering
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- [ ] Batch processing capabilities
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- [ ] Comprehensive error handling
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- [ ] API authentication and rate limiting
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- [ ] Performance monitoring
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### Phase 3: Enterprise Scale 🚀 (Future)
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- [ ] Multi-tenant support
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- [ ] Advanced document types (contracts, statements)
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- [ ] Real-time processing dashboard
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- [ ] Integration APIs for ERP systems
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- [ ] A/B testing framework
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## 🤝 Contributing
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This is a portfolio project, but feedback and suggestions are welcome!
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1. Fork the repository
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2. Create a feature branch
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3. Make your changes
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4. Submit a pull request
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 👨‍💻 About the Developer
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Built by **Yeragudipati Pratap** - Oracle ERP Expert --> AI/ML Engineering.
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- 💼 **LinkedIn**: [Connect with me](https://www.linkedin.com/in/pratapyeragudipati/)
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- 📧 **Email**: ypratap114u@gmail.com
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- 🌐 **Portfolio**: [View more projects](https://github.com/ypratap11)
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---
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⭐ **Star this repo if you find it helpful!** ⭐

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