Cattle Farm Management System

Technology Stack

The Problem

Dairy farm operators lack an integrated solution to manage cattle records, track milk production, monitor animal health, and analyze farm performance. Manual record-keeping is time-consuming, error-prone, and doesn't provide actionable insights for productivity optimization.

Technical Implementation

Built with React and TypeScript for type-safe, maintainable code with Vite for optimal build performance. Firebase (Firestore) handles real-time data synchronization for cattle records, milk production tracking, and health history. Implemented a comprehensive analytics dashboard using Recharts for production trends and farm metrics visualization. Features include cattle inventory management with breeding cycle monitoring, health record tracking with vaccination schedules, and milk production analytics. Added dark/light theme support with TailwindCSS, responsive mobile design, and PDF/Excel export functionality using jsPDF and XLSX libraries for report generation.

Reflective Analysis & Growth

This project enhanced my full-stack capabilities, particularly in building scalable real-time applications with Firebase. I gained valuable experience in designing complex data models for agricultural operations and creating meaningful visualizations for data-driven decision making. The PDF/Excel export feature taught me about generating downloadable reports efficiently. Most importantly, I learned how technology can directly impact agricultural productivity and farmer livelihoods. This was my first major project utilizing Artificial Intelligence for code writing while I primarily focused on the problem statement and implementation strategy. It was a great learning experience in leveraging AI tools effectively in software development.