🎉 Edaptix Selected at Regional Level for AI Wrapper Competition by Ignite National Technology Fund - Check Out Here
Empowering Teachers. Guiding Students. Enhancing Learning through Intelligent AI Wrappers.
Edaptix is an AI-powered educational platform built to bridge the gap between teaching and adaptive learning in Pakistan’s evolving academic landscape.
It provides an AI Wrapper that orchestrates multiple modalities — text, voice, and reasoning agents — to support both teachers and students through a unified, intelligent interface.
Pakistan’s education system faces chronic challenges:
- Lack of Teaching Assistants (TA) and resource imbalance between teachers and students
- Inconsistent feedback and assessment quality
- Limited access to personalized tutoring and learning analytics
Edaptix addresses these by enabling:
- Teachers to automate test creation, grading, and feedback
- Students to receive personalized AI guidance, adaptive feedback, and multimodal interaction
- Schools to monitor analytics and optimize resource use
💡 Aligned with local educational challenges and teacher-student ratios in Pakistan.
Unlike generic e-learning tools, Edaptix is built around an AI Wrapper Layer that:
- Integrates multiple AI models and tools under one standard interface.
- Processes multi-modal inputs — text, voice, and contextual reasoning.
- Routes and refines feedback dynamically between models like Grok and Tavily Search Agents, enhancing educational responses with factual grounding.
Example flow:
🧩 Student submits a test ➜ AI generates feedback (Grok) ➜ Wrapper agent refines feedback via Tavily Search ➜ Final actionable feedback sent to student.
This chained orchestration demonstrates AI agent collaboration — a key element of wrapper design.
| Layer | Description |
|---|---|
| Frontend (Next.js) | Modern React-based UI with responsive dashboards for teachers and students |
| Backend (Next.js API Routes) | Handles test generation, student submissions, AI requests, and feedback pipelines |
| AI Core (Wrapper Layer) | GPT-4.1 powered reasoning engine with custom middleware for routing and refinement |
| Voice Layer | Integrated speech recognition (input) and text-to-speech synthesis (output) for natural interaction |
| Database (MongoDB) | Stores user data, test responses, AI-generated feedback, and analytics |
| Deployment | Cloud-native via Vercel, scalable and secure |
| Analytics Dashboard | Lightweight metric cards display submission rates, feedback completion, and engagement trends |
| Capability | Implementation |
|---|---|
| Base Model Integration | GPT-4.1 (OpenAI API) for reasoning and explanation generation |
| Abstraction Layer | Custom Next.js middleware handling prompt formatting and normalization |
| Multi-Modal Support | Text, voice input/output |
| Agent Orchestration | Grok → Tavily Search flow for fact-grounded feedback refinement |
| Data Handling | MongoDB schema for user-specific tests, results, and generated responses |
| Evaluation & Monitoring | Dashboard tracking number of students, test completions, and AI feedback quality |
| Security & Ethics | Full authentication/authorization; strict teacher–student data segregation |
| Deployment | Vercel (Next.js serverless), easily portable to Docker for future scaling |
Edaptix is designed for:
- 📈 Scalability: Cloud deployment with modular Next.js architecture
- 🌍 Replicability: Adaptable to different curricula and local datasets
- 🎯 Impact: Reduces teacher workload, democratizes quality feedback, and enables AI-assisted learning
By optimizing how feedback loops are generated and verified, Edaptix empowers teachers to focus on mentorship rather than mechanical grading.
Working Features:
- ✅ Teachers can create and check tests
- ✅ AI-generated and refined feedback for each student
- ✅ Student dashboard with test submissions and feedback history
- ✅ Personalized AI tutor for concept explanation (text + voice)
- ✅ Voice-enabled chat for inclusive accessibility
- ✅ Real-time analytics on teacher and student activity
- Data separation by role (teacher/student)
- No unauthorized access to educational material
- Responsible AI usage with clear consent-based interactions
- No data sharing with third parties
- Frontend: Next.js + TailwindCSS
- Backend: Next.js API Routes (Node.js runtime)
- Database: MongoDB Atlas
- AI Models: GPT-4.1 + Grok Feedback Agent (llama-3.1-8b-instant) + Tavily Search Agent
- Speech: Web Speech API (Recognition + Synthesis)
- Deployment: Vercel (Serverless)