Custom Agriculture Management Website
Budget: ₹12,500 – ₹37,500 INR
1. Full Backend (Node.js + Express + MongoDB)
Implemented secure REST API using Express.
Designed MongoDB schema for Users, Expenses, and Yield Records.
Added JWT Authentication (login, register, protected routes).
Built CRUD APIs:
Add, view, edit, delete expenses
Add, view, edit, delete yield records
Implemented analytics endpoints:
Cost analysis
Yield analysis
Profit calculation (Revenue − Cost)
Created advanced reporting APIs:
Expense report (date range, crop, field)
Yield report
Profit report
Added validation using express-validator.
Middleware for user authentication & authorization.
2. Frontend (Vite + TailwindCSS + Vanilla JS)
Built responsive UI for farmers:
Add daily expenses
Add crop yield
Dashboard for total expenses, total income, net profit
Integrated Chart.js for visualizing:
Expense trends
Crop yield comparison
Profit analysis
Implemented client-side PDF and Excel export using:
jsPDF
SheetJS (xlsx)
3. Reporting & Analytics Features
Compare cost vs. yield for each crop.
View expenses by category (fertilizer, seeds, fuel, labour, etc.)
Generate downloadable PDF & Excel reports.
Pagination & filtering for large datasets.
Auto compute:
Total cost
Total revenue
Net profit
Yield per area
Cost per unit
4. Security & Best Practices
JWT-based secure login system.
Password hashing using bcrypt.js.
CORS configured for frontend-backend communication.
Input validation and sanitized user data.
Error-handling middleware implemented.
5. Database Design (MongoDB)
Users table (authentication)
Expenses table (date, crop, category, amount, notes)
Yield table (quantity, unit price, total value)
Automated calculations for:
totalValue
yieldPerArea
6. Deployment Ready
Backend structured with environment variables (.env) for:
MONGO_URI
JWT_SECRET
FRONTEND_URL
PORT
Clean project folder structure following production standards.
Generated a deployment checklist for servers or cloud hosting.
Project Outcome / What the Client Gets
This system provides:
Smart farm expense management
Accurate profit calculation per crop
Expense vs. yield comparisons
Insightful charts & analytics
Ability to export financial reports
Easy-to-use interface for farmers
Implemented secure REST API using Express.
Designed MongoDB schema for Users, Expenses, and Yield Records.
Added JWT Authentication (login, register, protected routes).
Built CRUD APIs:
Add, view, edit, delete expenses
Add, view, edit, delete yield records
Implemented analytics endpoints:
Cost analysis
Yield analysis
Profit calculation (Revenue − Cost)
Created advanced reporting APIs:
Expense report (date range, crop, field)
Yield report
Profit report
Added validation using express-validator.
Middleware for user authentication & authorization.
2. Frontend (Vite + TailwindCSS + Vanilla JS)
Built responsive UI for farmers:
Add daily expenses
Add crop yield
Dashboard for total expenses, total income, net profit
Integrated Chart.js for visualizing:
Expense trends
Crop yield comparison
Profit analysis
Implemented client-side PDF and Excel export using:
jsPDF
SheetJS (xlsx)
3. Reporting & Analytics Features
Compare cost vs. yield for each crop.
View expenses by category (fertilizer, seeds, fuel, labour, etc.)
Generate downloadable PDF & Excel reports.
Pagination & filtering for large datasets.
Auto compute:
Total cost
Total revenue
Net profit
Yield per area
Cost per unit
4. Security & Best Practices
JWT-based secure login system.
Password hashing using bcrypt.js.
CORS configured for frontend-backend communication.
Input validation and sanitized user data.
Error-handling middleware implemented.
5. Database Design (MongoDB)
Users table (authentication)
Expenses table (date, crop, category, amount, notes)
Yield table (quantity, unit price, total value)
Automated calculations for:
totalValue
yieldPerArea
6. Deployment Ready
Backend structured with environment variables (.env) for:
MONGO_URI
JWT_SECRET
FRONTEND_URL
PORT
Clean project folder structure following production standards.
Generated a deployment checklist for servers or cloud hosting.
Project Outcome / What the Client Gets
This system provides:
Smart farm expense management
Accurate profit calculation per crop
Expense vs. yield comparisons
Insightful charts & analytics
Ability to export financial reports
Easy-to-use interface for farmers
Related categories:
JavaScript
NoSQL Couch & Mongo
Analytics
Node.js
AngularJS
Backend Development
Frontend Development
MongoDB
Chart.js
REST API