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AI-Enabled Digital Education and Learning Management Solution

Services Covered:

Custom Software Development
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Industry
Industry

Education

Duration
Duration

2 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 September 2016

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

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74/100
Good

Project Capability Score (PCS) estimates how capable SoftKraft 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

Neutopia

mapSydney, Australia

Project Summary

SoftKraft developed an AI-based e-learning recommendation engine using Apache Spark and MLlib to generate personalized content feeds and weekly recommendations. They began with research and iterative testing, delivering a solution that improved personalization for learners and aided course designers. Communication and collaboration were effective, and early testers responded positively, making SoftKraft the go-to vendor for future platform development.

Key Challenges

  • Develop an AI-based recommendation engine to improve personalization and relevance for learners
  • Provide content recommendations to help course designers speed up course construction

Project Deliverables

  • AI-based recommendation engine
  • Personalized content feed
  • Weekly recommendation feature
  • Research and prototyping iterations

Project Solution

They were recommended by a partner (Selleo). The vendor began the engagement with research and early testing of multiple approaches, then refined the solution once the correct direction was identified. The team executed iterative prototyping and development to produce the machine-learning recommendation features. The vendor team for the engagement consisted of two people.

Project Outcome

  • Clients reported satisfaction with the delivered solution
  • Effective and efficient communication and collaboration
  • Became the go-to vendor for future platform development

Platforms

  • WebWeb

Tech Stack

  • Apache SparkApache Spark

Client Endorsement

Overall Review Rating

4.75star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“As expected, SoftKraft delivered the solution to spec, and early testers responded positively. They researched several approaches to determine their direction and worked well with all stakeholders. This success has made them the go-to to handle future development on the platform.”

Jamie Engel

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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