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Safal Prelude, 1105-1108, Prahaladnagar, Ahmedabad 15 India

 +918320704030

ai@siegpartners.com 

 AI-powered LMS platform – Manish

Cases
AI based Learning Education Management System LMS by SiegAI

The challenge

In the evolving landscape of digital education, BrainyTesters wanted to build a next-gen learning management system (LMS) that not only delivers online courses but also evaluates student progress using AI. The platform needed to support real-time class participation, automated oral assessments, and personalized feedback—especially for language learners and young students.

Manish, the founder, aimed for a platform that could provide intelligent guidance and active learning evaluation, reducing the dependency on constant human monitoring.

Solutions

SiegAI worked closely with BrainyTesters to develop an AI-powered LMS integrated with OpenAI’s Whisper-based speech recognition and smart evaluation engine.

  • Some of the standout features delivered: 

    • Real-time speech-to-text transcriptionof student responses
    • Automated evaluation of pronunciation, fluency, and accuracy
    • Interactive quizzes and audio-based assignments
    • Personalized progress reportsand AI-driven suggestions for improvement
    • Teacher dashboardto monitor classroom engagement and AI-flagged performance gaps.

The result was a seamless hybrid learning experience that improved both accessibility and learning outcomes.

““SiegAI helped us go beyond just delivering content—we’re now truly evaluating how well students are learning and where they need support, all through AI”

— Manish, Founder – BrainyTesters

Key Outcomes

  • 70% reduction in manual evaluation timefor instructors
  • Enabled real-time learning analyticswith speech-based AI assessment
  • Supported over 1,000 studentsin the first 3 months post-launch
  • Created inclusive learning toolsfor non-native English speakers and early learners
Reduction in Manual Evaluation
0 %
Improvement in Student Retention
0 %

Results Snapshot 

  • Whisper-powered AI achieved 95% transcription accuracyin classroom settings
  • Platform scaled to handle concurrent classes and evaluations
  • Adaptive learning path engine showed 35% improvementin student retention
  • Built-in multilingual support prepared for global expansion

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