AI-Proctoring Debate Platform Development
The client envisioned an intuitive, smart, and AI-proctoring-enabled debate platform. They aimed to create a highly scalable social platform where users can connect, debate through real-time live-streaming, and have AI-powered live proctoring to detect and report foul language.
Challenge
The client had a clear vision but required a technical partner to brainstorm, plan, design, develop, and implement the robust platform with all envisioned features, and the capacity to scale resources as the product grows.
Developing a Scalable Social Platform
Implementing AI-Powered Live Proctoring
Solution
Entrans developed a comprehensive solution leveraging cloud computing, CI/CD pipelines, and advanced AI technologies.
Result: The platform was successfully developed and delivered within four months, providing a seamless user experience with advanced AI-proctoring capabilities.
Data Flow and Implementation Process:
- Platform Development: Entrans introduced new features aimed at improving functionality and user experience. They collaborated with the client to document functional and non-functional requirements, and the design team produced screen mockups explaining user flow.
- CI/CD Integration: The CI pipeline triggered systematic export from the development environment into Azure Repos for version control. Continuous integration ensured that the latest platform iteration was committed to Azure Repos, and a managed solution encompassing new and existing features was built. Automated tests maintained the integrity and reliability of updates.
- Deployment and Testing: Post successful build and tests, the solution was deployed to test environments mirroring real-world scenarios. Continuous deployment facilitated rollout to staging and production environments. Automated and manual tests ensured flawless updates.
- Monitoring and Analysis: Using Azure’s Application Insights, the enhanced platform's health, performance, and usage were monitored. Insights from the analysis informed the prioritization of backlog items for iterative improvement.
Tech Stack and Architecture: Major Technologies:
- Front-End:
- React.js
- HTML5
- CSS3
- Back-End:
- Node.js
- Express.js
- Machine Learning:
- Python
- Cloud Storage:
- AWS
- Live Video Streaming:
- Vonage
- CI/CD Integration:
- GitLab
- Jenkins
- Azure DevOps
- AWS CI/CD Pipelines
Impact: The implementation led to a seamless user experience and intuitive interface. The AI-powered proctoring system enhanced the platform's functionality, ensuring a high-quality user experience.
Outcomes
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The platform was successfully developed and delivered within a remarkably short timeframe of four months.
The platform effectively monitors and reports foul language during real-time debates.
A highly scalable social platform capable of handling increasing user numbers and future feature expansions.
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