AI-Powered English Tutor with Avatar Integration
Budget: $750 – $1,500 USD
Project Title: AI-Powered English Tutor with Avatar Integration for our online Academy
1. Project Overview
We are developing an interactive AI English tutor to help students at our 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 our 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 (Male and Female)
1. Project Overview
We are developing an interactive AI English tutor to help students at our 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 our 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 (Male and Female)
Related categories:
PHP
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