AI English Tutor for Language Learning
Budget: $750 – $1,500 USD
Project Overview
We are developing an interactive AI English tutor to help students at Online Academy practice language skills through realistic conversations, corrections, and AI-driven recommendations. The tutor will support Arabic and English, include a live speaking avatar, and integrate into a WordPress-based LMS.
2. Core Features
Conversational AI: Powered by GPT-4 (Azure) or Mistral
RAG (Retrieval-Augmented Generation): To access course content and FAQs
Voice Interaction: Speech-to-Text and Text-to-Speech using Azure
Avatar Interface: Realistic avatar from Elai.io, D-ID, or Akool
Grammar Correction: AI-generated feedback in real-time
Bilingual Support: Arabic and English input/output with translation
Student Progress Tracking: Sessions, corrections, skill levels
WordPress LMS Integration: Unified login and user access control
Usage Limits: Time-based access based on subscription (15–30 minutes/session)
Avatar Selection: Multiple tutor personalities (gender, tone)
3. Technology Stack
Backend: Python / Node.js
Frontend: ReactJS or WordPress plugin
AI Engine: OpenAI GPT-4 or Mistral
RAG Framework: LangChain or LlamaIndex + FAISS/ChromaDB
Avatar System: Elai.io / D-ID / Akool
Voice Processing: Azure Speech Services
Database: WordPress user system, optional MongoDB or Firebase for interactions
4. Development Workflow
Setup & Content Collection
Course material collection (PDFs, docs, HTML)
Prepare by CEFR level (A1 to C1)
RAG Integration
Convert content into embeddings
Store in FAISS or ChromaDB
Connect LangChain/LlamaIndex to LLM
Voice and LLM Setup
Azure Speech-to-Text and Text-to-Speech
Connect GPT-4/Mistral via API
Avatar Development
Embed avatar with speaking capabilities and gesture control
Frontend Interface
Build chat UI with text/voice toggle
User login with access control and session timer
Testing Phase
Invite sample users for feedback
Fine-tune responses and user experience
Deployment & Maintenance
Live integration on Online Academy’s WordPress LMS
Monitor performance and feedback
5. Deliverables
AI Tutor embedded in Online Academy website
Real-time voice and avatar interface
Arabic/English language support
Dashboard for student progress
Backend dashboard for admin analytics
Full documentation and API keys
6. Timeline Estimate
Task
Duration
Setup & Collection
3 days
RAG & LLM Development
7 days
Voice & Avatar Integration
5 days
Frontend + LMS Integration
4 days
Testing & Optimization
3 days
Total
22 days
7. Optional Features
AI Writing Feedback Module
Speaking Proficiency Score
Placement Test
Parental Report Generation
Multi-Avatar Personalities (based on age/style)
We are developing an interactive AI English tutor to help students at Online Academy practice language skills through realistic conversations, corrections, and AI-driven recommendations. The tutor will support Arabic and English, include a live speaking avatar, and integrate into a WordPress-based LMS.
2. Core Features
Conversational AI: Powered by GPT-4 (Azure) or Mistral
RAG (Retrieval-Augmented Generation): To access course content and FAQs
Voice Interaction: Speech-to-Text and Text-to-Speech using Azure
Avatar Interface: Realistic avatar from Elai.io, D-ID, or Akool
Grammar Correction: AI-generated feedback in real-time
Bilingual Support: Arabic and English input/output with translation
Student Progress Tracking: Sessions, corrections, skill levels
WordPress LMS Integration: Unified login and user access control
Usage Limits: Time-based access based on subscription (15–30 minutes/session)
Avatar Selection: Multiple tutor personalities (gender, tone)
3. Technology Stack
Backend: Python / Node.js
Frontend: ReactJS or WordPress plugin
AI Engine: OpenAI GPT-4 or Mistral
RAG Framework: LangChain or LlamaIndex + FAISS/ChromaDB
Avatar System: Elai.io / D-ID / Akool
Voice Processing: Azure Speech Services
Database: WordPress user system, optional MongoDB or Firebase for interactions
4. Development Workflow
Setup & Content Collection
Course material collection (PDFs, docs, HTML)
Prepare by CEFR level (A1 to C1)
RAG Integration
Convert content into embeddings
Store in FAISS or ChromaDB
Connect LangChain/LlamaIndex to LLM
Voice and LLM Setup
Azure Speech-to-Text and Text-to-Speech
Connect GPT-4/Mistral via API
Avatar Development
Embed avatar with speaking capabilities and gesture control
Frontend Interface
Build chat UI with text/voice toggle
User login with access control and session timer
Testing Phase
Invite sample users for feedback
Fine-tune responses and user experience
Deployment & Maintenance
Live integration on Online Academy’s WordPress LMS
Monitor performance and feedback
5. Deliverables
AI Tutor embedded in Online Academy website
Real-time voice and avatar interface
Arabic/English language support
Dashboard for student progress
Backend dashboard for admin analytics
Full documentation and API keys
6. Timeline Estimate
Task
Duration
Setup & Collection
3 days
RAG & LLM Development
7 days
Voice & Avatar Integration
5 days
Frontend + LMS Integration
4 days
Testing & Optimization
3 days
Total
22 days
7. Optional Features
AI Writing Feedback Module
Speaking Proficiency Score
Placement Test
Parental Report Generation
Multi-Avatar Personalities (based on age/style)