endorsedOngoing

E‑Learning Platform Development (Django & React)

Services Covered:

AI and Machine Learning • Custom Software Development • UI/UX Design • Web Application Testing

Industry

Education

Duration

55 months

Budget

Confidential

Start Date

1 January 2022

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

75/100

Good

Project Capability Score (PCS) estimates how capable Django Stars is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Atlanta, United States of America

Project Summary

Django Stars provides ongoing custom development and design support for an e-learning platform, delivering a Django backend, React frontend, UX improvements, and a CI/CD pipeline for Kubernetes and AWS. The team organizes work into two-week sprints, meets deadlines, stays within budget, and communicates clearly despite a three-hour time zone overlap. They also use open-source tools to orchestrate services such as automated grading and help accelerate user story definition.

Key Challenges

Develop backend using Django and the Django Rest Framework
Define user stories and acceptance criteria based on customer feedback
User experience (UX) design
Develop React frontend
Build CI/CD pipeline for Kubernetes and AWS

Project Deliverables

Backend developed using Django (Django REST Framework)
User stories and acceptance criteria defined
UX design improvements
React frontend implementation
CI/CD pipeline for Kubernetes and AWS
Open-source orchestration for automated grading

Project Solution

Django Stars provided custom software development based on an existing frontend and a framework proposal. They developed the backend using Django and Django REST Framework, defined user stories and acceptance criteria, improved UX design, implemented a React frontend, and built a CI/CD pipeline for Kubernetes and AWS. They also used open-source tools to orchestrate services like automated grading.

Project Outcome

All two-week sprints have been completed in a timely manner
The team respects deadlines and stays on budget
Communication is clear and responsive despite a three-hour time zone overlap
The team improved the speed of defining user stories and acceptance criteria

Platforms

Web
Cloud

Tech Stack

Django
React.js
Amazon Web Services (AWS)
Kubernetes

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Django Stars has delivered professional services on time, leaving the client satisfied. They have thoroughly followed deadlines and stayed within budget. Further, they have a clear understanding of the customer's needs and collaborate efficiently through virtual meetings and email updates.”
Anonymous
Executive
Date: 04/24/2023