LetsQualifly - AI-Powered Language Assessment Engine for IELTS, CELPIP & PTE
LetsQualifly is an AI-powered exam preparation platform designed to help students prepare for IELTS, CELPIP, and PTE more effectively through intelligent assessment, personalized feedback, and structured learning resources. Built for aspiring international students, skilled workers, and immigration applicants, the platform combines exam preparation, score planning, AI evaluation, vocabulary building, and progress tracking into a single learning ecosystem.
The Challenge
Students preparing for IELTS, CELPIP, and PTE often struggle to receive timely and affordable feedback on their Speaking and Writing performance. Traditional coaching centers rely on human evaluators, creating several challenges: high evaluation costs, delayed feedback cycles, limited practice opportunities, inconsistent assessment quality, and difficulty scaling evaluation for thousands of students. LetsQualifly wanted to create an intelligent assessment system capable of evaluating student responses instantly while maintaining a feedback experience similar to a human instructor. The objective was to build an AI-powered evaluation engine that could analyze writing samples, assess spoken responses, generate personalized feedback, and provide estimated exam scores in real time.
Key Workforce & Technical Challenges Faced:
Our Solution
AKS Interactive designed and developed a multi-model AI evaluation ecosystem that simulates the assessment process used in IELTS, CELPIP, and PTE examinations. The platform combines Google Gemini, OpenAI Models, OpenAI Whisper, custom evaluation logic, and structured scoring frameworks to deliver automated language assessment across multiple exam sections.
Writing Assessment Pipeline
Students submit responses to exam-style writing prompts. The AI system evaluates Grammar Accuracy, Vocabulary Usage, Task Achievement, Sentence Structure, Coherence & Cohesion, and Fluency.
- Estimated Band Score calculation
- Improvement suggestions and grammar corrections
- Writing structure and cohesion feedback
- Targeted vocabulary recommendations
Delivers immediate, detailed feedback that would traditionally require a certified human examiner.
Speaking Assessment Pipeline
Students record spoken answers directly within the application with full voice-to-score multi-stage intelligence:
- In-App Voice Recording with low-latency upload
- OpenAI Whisper Speech Recognition & transcript generation
- Multi-dimensional analysis: Pronunciation, Fluency, Vocabulary Range, Structure & Relevance
- Estimated exam scores along with actionable verbal feedback
Intelligent Feedback & Coaching Engine
Generates human-like coaching insights rather than simple correct/incorrect flags:
- Context-aware, skill-specific recommendations
- Granular performance, strength, and weakness breakdowns
- Personalized learning improvement paths and study schedules
AI-Powered Vocabulary Intelligence
Contextual vocabulary learning system seamlessly integrated into the study flow:
- Click any unfamiliar word to save to personalized collections
- Real-time vocabulary capture and personal learning libraries
- Context-based learning without interrupting test simulations
Strategic Approach & Execution
Scoring Rubric & Matrix Calibration
Mapped evaluation parameters directly against official IELTS, CELPIP, and PTE scoring descriptors.
Multi-Model Pipeline Architecture
Configured OpenAI Whisper for phoneme/speech recognition and paired Google Gemini with GPT models for semantic and syntactic evaluation.
Full-Stack Platform Engineering
Engineered a modern Next.js 16 web application with Neon PostgreSQL, Prisma ORM, and AWS S3 audio pipelines.
Contextual Intelligence & Feedback Loop
Implemented non-intrusive in-app vocabulary capture and automated score prediction algorithms within 3 months.
Technical Implementation
AI Stack
| Component | Technology |
|---|---|
| Writing Evaluation | Google Gemini |
| Speaking Evaluation | OpenAI GPT Models |
| Speech Recognition | OpenAI Whisper |
| Prompt Engineering | Custom Evaluation Framework |
| Feedback Generation | Multi-Stage AI Processing |
| Score Prediction | Custom Scoring Logic |
Platform Architecture
| Layer | Technology |
|---|---|
| Frontend | Next.js 16 |
| Backend | Next.js API Routes |
| Database | Neon PostgreSQL |
| ORM | Prisma |
| File Storage | AWS S3 |
| Validation | Zod |
| Authentication | JWT + OTP |
Business Impact & Results
By combining AI engineering, product design, and full-stack development, AKS Interactive helped LetsQualifly build an intelligent assessment ecosystem capable of delivering personalized exam preparation at scale. The result is an AI-powered platform that brings together language assessment, feedback generation, score prediction, and personalized learning into a single seamless experience.
Key Outcomes
Client Value Delivered
By combining AI engineering, product design, and full-stack development, AKS Interactive helped LetsQualifly build an institutional-grade, multi-model language assessment platform that eliminates human evaluation bottlenecks and delivers personalized exam preparation at scale.
Case Study Intel
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