Azeshee/

AgriSmart-Punjab

🚀 Hackathon Project - Empowering Punjab Farmers with Smart Technology

🎯 Problem Statement

• Inefficient soil management leading to suboptimal yields
• Limited access to real-time farming insights
• Lack of awareness about government agricultural schemes
• Language barriers in accessing modern farming technology

✨ Features

🌱 Smart Soil Analysis

• NPK Analysis: Input nitrogen, phosphorus, and potassium levels for personalized recommendations
• pH Monitoring: Soil acidity/basicity assessment with actionable advice
• Environmental Factors: Temperature and humidity integration for comprehensive analysis

📊 Intelligent Recommendations

• AI-powered crop suitability analysis
• Fertilizer optimization suggestions
• Pest and disease prevention alerts

📢 Government Integration

• Real-time government scheme notifications
• Subsidy information for tractors and equipment
• Kissan Card loan details
• Weather alerts and advisories

🌐 Multilingual Support

• Urdu language interface for local farmers
• English support for broader accessibility

🛠️ Tech Stack

• Frontend: Streamlit
• Data Processing: Pandas, NumPy
• Visualization: Matplotlib
• AI/ML: Scikit-learn (planned for future enhancements)
• Deployment: Streamlit Cloud

🚀 Quick Start

Prerequisites

• Python 3.8+
• Git

Installation

1. Clone the repository
   bash

   1git clone https://github.com/your-username/agri-smart-punjab.git 2cd agri-smart-punjab
2. Create virtual environment
   bash

   1python -m venv .venv 2source .venv/Scripts/activate # On Windows 3# or 4source .venv/bin/activate # On macOS/Linux
3. Install dependencies
   pip install -r requirements.txt
4. Run the application
   streamlit run app.py
5. Open your browser and navigate to http://localhost:8501

📱 Usage

1. Access the Dashboard: Open the app in your browser
2. Input Soil Parameters: Enter NPK values, pH, temperature, and humidity
3. Get Recommendations: Click "Generate Recommendation" for personalized farming advice
4. Check Government Updates: View sidebar for latest schemes and alerts

🌟 Key Highlights

• User-Friendly Interface: Intuitive design accessible to farmers with varying tech literacy
• Real-Time Data: Integration with weather APIs for accurate recommendations
• Scalable Architecture: Built with modern web technologies for easy expansion
• Open Source: Community-driven development and contributions welcome

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

👥 Team

• Developer: [Laraib Huma,Nayab,Hiba Rao and Shiza Khan]
• Mentor: [Zakaullah]

🙏 Acknowledgments

• Punjab Agriculture Department for data and insights
• Streamlit community for the amazing framework
• All contributors and supporters

📞 Contact