EduSAIG: AI-Powered Personalized Learning Platform 🎓

Transform your learning journey with AI-powered personalization

🌟 Inspiration

Our journey began when we identified critical gaps in current online learning platforms:

Students struggle to identify their learning weaknesses
Course content is often overwhelming without clear focus points
Generic approaches fail to address individual learning needs
Motivation tends to decrease over time
Assessment systems lack meaningful feedback

🚀 What it does

EduSAIG revolutionizes online learning through:

🧠 AI-powered learning pattern analysis
📊 Personalized learning paths
📝 Smart content summarization
📈 Adaptive assessments
🎯 Targeted recommendations
💪 Engagement optimization

🛠️ How we built it

Tech Stack

Frontend:
- Next.js
- React
- Tailwind CSS

Backend:
- Nestjs
- PostgreSQL
- JWT Authentication

AI Service:
- FastAPI
- LangChain
- OpenAI
- Transformers

Infrastructure:
- AWS Services
- Docker

🎯 Key Features

Smart Analysis: AI-driven assessment of learning patterns
Personalization: Custom learning paths for each user
Content Optimization: Automatic key point extraction
Progress Tracking: Detailed analytics and insights
Adaptive Learning: Real-time content adjustment
Engagement Tools: Motivation-focused features

🚧 Challenges we ran into

AI Integration Complexity
- Developing accurate learning pattern recognition
- Balancing AI recommendations with human guidance
- Real-time processing optimization
Technical Hurdles
- Multi-model AI integration
- Performance optimization
- Data security maintenance
UX Challenges
- Creating intuitive interfaces
- Balancing automation and user control
- Ensuring accessibility

🏆 Accomplishments

Built robust AI-powered learning analysis system
Developed adaptive path generation algorithm
Created engaging and intuitive user interface
Implemented scalable architecture
Achieved high accuracy in content summarization
Developed innovative assessment methods

📚 What we learned

Importance of user-centered design in edtech
Complexities of AI integration in education
Value of personalization in learning
Significance of motivation systems
Balance between automation and human touch

🔮 Future Roadmap

Short Term

Advanced analytics dashboard
Mobile application development
Enhanced AI models
Additional subject support

Long Term

Institution integration
Corporate training solutions
International expansion
Community features development

🚀 Getting Started

Prerequisites

# Node.js 16+ and npm
# Python 3.8+
# PostgreSQL 13+
# Docker (optional)

Installation

Clone the repositories:

git clone https://github.com/SAIG-KMITL/edusaig
git clone https://github.com/SAIG-KMITL/edusaig-api
git clone https://github.com/SAIG-KMITL/edusaig-ai

Frontend setup:

cd edusaig
npm install
cp .env.example .env
npm run dev

Backend setup:

cd edusaig-api
npm install
cp .env.example .env
npm run dev

AI service setup:

cd edusaig-ai
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
uvicorn main:app --reload