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Innowise Group is an international full-cycle software development company founded in 2007. We are a team of 1400+ IT professionals developing software for other professionals worldwide.
About us
Innowise Group is an international full-cycle software development company founded in 2007. We are a team of 1400+ IT professionals developing software for other professionals worldwide.

Digital educational platform

A platform that connects mentors and coachees using machine learning and data analytics.

Customer

Industry
Education
Region
EU
Client since
2020

Our customer is a European e-learning platform that provides customers with mentors on the subjects of their choice.

Detailed information about the client cannot be disclosed under the provisions of the NDA.

Challenge

A client came up with the idea that the platform should be enhanced with data engineering and machine learning tools so that it could suggest mentors to users more rapidly and accurately. Data should be properly gathered and refined before being used by recommender systems, time-logging tools, and other software.

To solve the problem, Innowise Group’s software engineers needed to

  • study the client’s existing data flow design;
  • rebuild the data flow;
  • automate an array of manual processes;
  • design architecture that ensures both functionality and security.
Learning desktop

Solution

Innowise Group has built from scratch a platform that provides mentors and coachees a toolset for interacting with each other in an effective and convenient way. The solution has been developed to replace the previous version of the platform due to its lack of response speed and functionality.

Our software engineers have designed the solution in a way that allows data to be rapidly gathered and updated from various sources. The data is automatically refined according to the preset templates and sent to the tools that operate it.

Amazon Web Services

The solution is based on Amazon Web Services due to its security, flexibility, scalability, and cost-effectiveness.

Coaches and regular customers can submit their data in various forms to the platform, including text, pictures, videos, document scans, etc. This data is uploaded to AWS and stored in a data lake.

ETL pipelines

Our data engineers have developed and introduced ETL pipelines to automatically gather data chunks from the users into the cloud storage.

Data lake and data warehouse

Data gathered through ETL pipelines is refined in data lakes. This process is operated by Airbyte and dbt. After the data is refined, Apache Airflow transfers it to the data warehouse where it can be used for various purposes, such as

  • recommending and notifying mentors of suitable coachees more precisely;
  • estimating user activity and productivity;
  • predicting user behavior in different fields;
  • providing secure automated payments to the mentors;
  • detecting frauds;
  • performing KYC, AML, ATF actions, etc.

Technologies & tools

Back-end
Python 3.x, Flask, Celery, WebSockets, Django REST framework, Pytest
Front-end
TypeScript
Databases
PostgreSQL, Redshift, S3, SalesForce, Elasticsearch
DevOps
Kubernetes, Apache Airflow, Terraform, plural, astronomer
Cloud
Google Cloud Platform, AWS
VCS
GitLab, GitHub

Process

Taking into consideration all the project requirements and specifics, we have selected Scrum as a software development methodology, conducting bi-weekly sprints and Sprint overviews to demonstrate the progress. We used Jira and Confluence and held the meetings and overall communication with the client in Microsoft Teams.

Our team developed the requirements according to the client’s vision of the solution and documented them. During the development process, we were constantly analyzing, refining, and decomposing the requirements into tasks and subtasks for easier progress tracking. After several tasks were completed, Innowise Group’s quality assurance engineers checked whether the solution was compliant with the outlined requirements, was bug-free, and our team was on the same page with the client’s vision and expected outcomes.

Elearning chat

Team

4
Data engineers
2
Back-end developers
2
Front-end developers
1
ML engineer
2
Data scientists
2
BI developers
1
Business analyst
1
Project manager
2
QA engineers
team-innowise

Results

Innowise Group has built a secure platform that allows the client’s employees to collect, store, and manage data from students and tutors on the platform. Due to the security of the solution and strict access and operation control, this information can be used for a variety of purposes without fear of being leaked.

Our software engineers have automated a number of processes that were previously manual and designed the data flow to make the solution as efficient as possible.

Project duration
  • Since 2020
  • The project is still ongoing; at this stage, we support the platform and implement new features

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What happens next?

1

Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.

2

After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.

3

We arrange a meeting with you to discuss the offer and come to an agreement.

4

We sign a contract and start working on your project as quickly as possible.

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