23% OFF AI-Powered Farm Management System Using Python
AI-Powered Farm Management System Using Python and Django is a web-based application designed to manage farming activities, including crop production, irrigation, livestock, employees, machinery, inventory, sales, and farm finances. It includes four user roles, separate dashboards, a custom admin panel, AI chatbot, machine learning insights, and CSV import/export functionality.zzzz
Read more- Built with
- PythonDjangoMachine LearningBootstrapHTML/CSSJavaScript
- You get
- Source codeDatabaseProject reportPPTSetup guide
- Delivery
- Instant download after payment
Project Overview
AI-Powered Farm Management System is a web-based application developed using Django, SQLite, Bootstrap 5, Chart.js, scikit-learn, and NLTK. It is designed to manage different farming activities, including crop production, irrigation, livestock, employees, machinery, inventory, sales, and farm finances. The system provides separate dashboards for administrators, farm owners, managers, and employees, along with a custom administration panel, AI chatbot, machine learning-based insights, financial reports, and CSV import/export functionality.
Key Features
- Custom Admin Panel: Includes 35 management modules with CRUD operations, search, filters, sorting, pagination, CSV import, and export.
- Multiple User Roles: Provides Admin, Manager, Farm Owner, and Employee roles with different access permissions.
- Separate Dashboards: Individual dashboards with KPI cards and Chart.js graphs.
- Finance Management: Manage sales, invoices, payments, outstanding balances, expenses, and profit and loss reports.
- Inventory Management: Automatic stock updates, stock movement tracking, low-stock notifications, and purchase order stock additions.
- AI Chatbot: Uses TF-IDF, NLTK Porter stemming, and Logistic Regression with 28 intents.
- AI-Powered Insights: Provides crop production analysis, milk production forecasts, harvest and expense forecasts, stock-depletion predictions, and recommendations.
- CSV Import and Export: Supports CSV data import and export across management modules.
- Security Features: Includes role-based permissions, CSRF protection, password validation, restricted image uploads, and spreadsheet-formula injection protection.
Technologies and Libraries Used
- Programming Language: Python
- Backend Framework: Django
- Database: SQLite
- Frontend: Bootstrap 5
- Charts: Chart.js
- Machine Learning: scikit-learn
- Natural Language Processing: NLTK
- Admin Module
- Custom Admin Dashboard
- Farm Management
- Field Management
- Crop Management
- Irrigation Management
- Fertilizer Management
- Pesticide Management
- Harvest Management
- Animal Management
- Animal Health Management
- Vaccination Management
- Feeding Management
- Veterinary Visit Management
- Breeding Management
- Livestock Production Management
- Employee Management
- Task Management
- Attendance Management
- Payroll Management
- Performance Management
- Schedule Management
- Machinery Management
- Maintenance Management
- Fuel Management
- Machinery Usage Management
- Inventory Management
- Stock Movement Management
- Supplier Management
- Purchase Order Management
- Buyer Management
- Sales Management
- Invoice Management
- Payment Management
- Expense Management
- User Management
- System Settings
- CSV Import and Export
- Manager Module
- Access to Management Modules
- Farm Operations Management
- Inventory Management
- Finance Management
- Reports and Insights
- Farm Owner Module
- Own Farm Data Management
- Farm Dashboard
- Farm Performance Monitoring
- Financial and Production Information
- Employee Module
- Personal Tasks
- Attendance
- Salary Information
- Work Schedules
- Performance Information
- AI and Machine Learning Module
- AI Chatbot
- Crop Production Analysis
- Milk Production Forecasting
- Harvest Forecasting
- Expense Forecasting
- Stock-Depletion Predictions
- Rule-Based Recommendations
- Open PowerShell and navigate to the extracted project directory:
cd path\to\farm_management
- Create a virtual environment:
python -m venv venv
- Activate the virtual environment:
.\venv\Scripts\Activate.ps1
- If activation is blocked, execute:
Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass
- Upgrade pip and install dependencies:
python -m pip install --upgrade pip
pip install -r requirements.txt
- Generate migrations:
python manage.py makemigrations accounts farm chatbot
- Apply database migrations:
python manage.py migrate
- Create demo data:
python manage.py seed_demo
- Run the project:
python manage.py runserver
- Open the application:
http://127.0.0.1:8000/
Default Demo Login Credentials
Admin
Username: admin
Password: Admin@123
Manager
Username: manager
Password: Manager@123
Farm Owners
Username: owner1 to owner5
Password: Owner@123
Employees
Username: emp01 to emp24
Password: Employee@123
AI Chatbot Training (Optional)
python manage.py train_chatbot
Stuck while running it? Chat with us on WhatsApp for free installation help.
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