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Comprehensive Animal Management System (AMS)

The Animal Management System (AMS) is a unified web platform built to streamline animal care operations through profile management, scheduling, adoption workflows, and facility analytics.

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Overview

Project Overview

Title: Comprehensive Animal Management System (AMS) • Industry: Animal Welfare • Project Category: Web Application Development • Project Duration: 6 months • Project Cost: $40,00 • Project Started On: May 2022 - Sep 2022 • Role: Developer & Team Lead • Live URL: Not provided

Description

The Animal Management System (AMS) was designed to revolutionize animal care facilities by providing a unified platform to streamline operations. The project delivers advanced capabilities like animal profile management, care scheduling, and a structured adoption process using MERN stack architecture with AWS-backed cloud services.

Problem

Animal care facilities faced recurring operational issues:

• Managing comprehensive health records was difficult with fragmented systems. • Care schedules and daily workflows were hard to coordinate consistently. • Adoption processes lacked centralization and standardization. • Manual handling introduced inefficiencies and avoidable data errors.

Solution

AMS was developed as a robust centralized platform with integrated modules.

Technologies Used

Frontend: React, CSS3, HTML5

Backend: Node.js, Express.js

Database: MongoDB, AWS DynamoDB

Cloud Services: AWS Lambda, Amazon EC2

Impact

50% Reduction in Administrative Overhead: Lower manual burden for facility staff.

Enhanced Data Accuracy & Accessibility: Reliable digital records improved daily operations.

Improved Adoption Rates: Streamlined, data-driven adoption process increased successful placements.

Better Health Outcomes: Timely care tracking improved welfare and service quality.

This project demonstrates how tailored software can significantly improve animal welfare operations and community impact.

Key Highlights

  • Centralized AMS platform for animal records, scheduling, and adoption workflows
  • Detailed profile management improved visibility into health and adoption status
  • Calendar-based care scheduling improved consistency of checkups and treatments
  • Compatibility-driven adoption management increased placement effectiveness
  • Facility analytics enabled stronger operational decision-making
  • Delivered measurable operational impact with 50% admin overhead reduction

Tech Stack

MERN StackAWS LambdaAmazon EC2Amazon DynamoDBAnimal WelfareJavaScriptReactNode.jsCSS3HTML5

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