EN

How Teachers Can Identify AI-Generated Content in Just Minutes

Industry
Education
location
UK
Industry
Education
location
UK
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story behind

While there is an ongoing debate about whether artificial intelligence is a curse or a blessing, one cannot deny that this technology has become so user-friendly that it is now accessible to everyone. 

One of the significant applications of AI is in education. While students often turn to AI platforms like ChatGPT for support, there remains a need to assist educators in evaluating students' abilities and ensuring their own comprehensive understanding of the subject matter. Who will support these educators?

Our client came up with a project aimed at addressing this particular issue within minutes. The concept involves a platform capable of determining whether a given text is written by a human or generated by AI.

  • Detailed text analysis
  • AI Probability Engine
  • Granular Probability Chart
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Challenges & solutions

AI Probability Engine Design
number

Problem

The need for comprehensive AI content detection.

Solution

Plavno developers used three distinct AI models: predict, detect and clarity models. As a result, users can view details of a granular probability percentage for each paragraph contained in the document using a blend of 3 models.

AI Probability Engine Design
The lack of a full-fledged design

The lack of a full-fledged design
number

Problem

The absence of a comprehensive and fully developed design approach.

Solution

Plavno team has demonstrated that it's not always essential to commence projects solely with a pre-existing design, especially in the case of MVP. Our front-end developers selected a library and autonomously handled the visual aspects, utilizing QA engineers to select the most user-friendly UI/UX.

proccess

Crystal clear process

Agile methodology forms the cornerstone of our work philosophy. Through a seamless blend of innovative practices, including regular demos, comprehensive progress tracking, and a unique pay structure based on hours invested, we've constructed a workflow that ensures optimal outcomes and client satisfaction.

discovery
design
development
Testing
Launch
Maintenance
Conduct market research
UX Research
Components
Perform integration testing
Address issues in staging environment
Audience analysis
Moodboards
Develop UI components
Test personalized algorithms
Monitor customer satisfaction
Identify key features
Prototyping
API integrations
Deploy to production
Gather user feedback
Define project scope
UI Design
Implement custom features
Address and fix bugs
Updates and improvements

features

The key features of the platform

Multiple text input options

Users can type or paste text directly into the platform's interface or upload documents in various formats, including DOC, DOCX, and TXT, for analysis.

AI Generated Score

Using the opportunities of predict, detect and clarity models, the solution determines the extent of AI-generated content in the document, consolidating results from multiple analyses.

Granular Probability Chart

Detailed visualization of the probability percentages for each paragraph in the document.

Document History

The platform retains a history of previously analyzed documents, allowing users to access and review past analyses effortlessly. The history can store up to 1000 records.

Admin Panel

This tool allows the client to create multiple users, establish organizations, and associate users with them. These users can log in and review the text content.

Clear onboarding

When users first meet the platform they follow a quick step-by-step guide on how to use its features.

project team

Launch, accelerate and support your business with our teams

Aleksandr
Aleksandr
DevOps
Expertise
Lead DevOps with 6+ years of experience in implementing the entire infrastructure and architecture.
Dart
Terraform
Kubernetes
Docker
Azure
Dmitry
Dmitry
Frontend
Expertise
Fullstack Developer with more than 5 years of experience in React and Node.js.
TypeScript
Node.js
Express
Next.js
React
Yan
Yan
QA
Expertise
Experienced QA Engineer with a strong background in Cypress and Selenium automation testing.
Postman
Selenuim
Bamboo
Python
ADB
results

The final product turned out to be as useful as possible for the business of our customers. They have successfully implemented it into their consulting business, which has obviously become a competitive advantage. End users consistently provided positive feedback on the platform's user-friendliness and effectiveness in improving their financial literacy.

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Vitaly Kovalev

Vitaly Kovalev

Sales Manager

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