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SaaSEducation

AI-Powered Education Platform

24/7 AI teacher for exam preparation. Personalized learning experience for TYT, AYT, LGS, KPSS exams.

Completion Time:4 months
6+AI Models
90%Cost Savings
95%Satisfaction
Visit Project
AI-Powered Education Platform

Customer Need

Students couldn't get 24/7 personalized support during exam preparation. Private tutoring costs were very high.

Our Solution

We developed a smart education platform using multiple AI models. Added voice chat, automatic homework generation, quiz system.

What Makes This Project Special?

A typical AI chatbot project uses a single model. We integrated 6 different AI models, added voice chat, developed institution management system and wrote 11,000+ lines of code. Client only asked for 'AI chat', we delivered a complete education platform.

Technical Details

11,366+
Lines of Code
100+
API Endpoints
21
Database Tables
221
Controller Methods
17
Service Classes
61 pages
Documentation

Integrations

OpenAI
GPT-4o, GPT-4o-mini, DALL-E 3, Whisper, Realtime Voice API
Anthropic
Claude 3.5 Sonnet, Claude 3 Haiku
Google AI
Gemini 1.5 Pro, Gemini 1.5 Flash
DeepSeek
DeepSeek Chat, DeepSeek Coder
PayTR
Secure payment, HMAC-SHA256 verification
WebRTC
Real-time voice chat infrastructure

Challenges & Solutions

1Multi-AI Model Management

Challenge:

6 different AI providers had different API formats, pricing models and response structures.

Solution:

Created abstraction layer with Factory pattern. Separate service class for each provider, unified management with common interface. Users can switch models seamlessly.

2Real-Time Voice Chat

Challenge:

Students needed to talk with AI via voice. Latency and sound quality were critical.

Solution:

WebRTC + OpenAI Realtime API integration. Optimized connection management for low latency, automatic transcription and credit tracking.

3Math Formula Support

Challenge:

Math questions needed proper formula rendering.

Solution:

KaTeX integration for LaTeX formula rendering. Automatic formula detection and conversion in AI responses.

4Dynamic Credit Calculation

Challenge:

Each AI model has different token pricing. Fair and transparent pricing needed for users.

Solution:

Token-based cost calculation system. Automatic credit deduction based on input/output token count and model price for each API call.

Behind The Scenes

  • Token count calculated for each AI response, credits deducted based on actual cost
  • Voice chat has per-second credit calculation
  • Homework creation with dynamic pricing based on question count (1-30 credit range)
  • DALL-E image generation with different pricing by size and quality
  • Bulk student import system for institutions (CSV)
  • 21 database migrations for version control
  • 61-page technical documentation

Project Features

  • 24/7 AI teacher support
  • Real-time interaction with voice chat
  • Automatic homework and quiz generation
  • Math formula support (LaTeX/KaTeX)
  • Solve questions by uploading files

Achieved Results

Students can now study with AI teacher 24/7. More than 90% savings compared to private tutoring costs.

Project Information

Project TypeSaaS
SectorEducation
Completion Time4 months

Tech Stack

PHP 8.1CodeIgniter 4MySQL 8RedisTailwindCSSOpenAI APIAnthropic APIGoogle AI

Architecture

Modular MVC architecture. AI services abstracted with Factory pattern, payment system with event-driven callback structure. Redis for session and cache management. All sensitive data encrypted.

Live Project

elithoca.com

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