🧠 A scalable GEN AI-powered academic platform that leverages Generative AI to deliver personalized study materials, adaptive quizzes, and intelligent learning workflows through a full-stack architecture.
🌐 Frontend:
https://advancedailearning-7mq5dbuhcraycstv8kjvep.streamlit.app/
⚙️ Backend API:
https://advanced-ai-learning-1-w542.onrender.com
📚 API Docs:
http://localhost:8000/docs
AI-Powered Academic Learning Platform is a full-stack, production-ready EdTech system that leverages Generative AI (Groq LLM) to deliver personalized, scalable, and intelligent learning experiences.
The platform is designed for School Students, College Learners, and Competitive Exam Aspirants, providing adaptive content, automated assessments, and real-time learning insights.
- Dynamic study material generation using Groq LLM (llama-3.3-70b-versatile)
- Multi-level content delivery: Beginner → Intermediate → Advanced
- Structured outputs (definition, concepts, examples, summaries)
- Context-aware explanations for better understanding
- AI-generated MCQs with detailed explanations
- Difficulty-based adaptive question generation
- Real-time evaluation and feedback system
- Designed for concept reinforcement and assessment
- Automated learning roadmap creation
- Hierarchical concept breakdown
- Helps users visualize and structure knowledge
- Supports faster revision and long-term retention
- User registration & login with hashed passwords (bcrypt)
- Role-based access control:
- 🏫 School Students
- 🎓 College Students
- 🎯 Exam Aspirants
- Persistent user data using JSON storage
- Personalized learning dashboard
- Progress tracking and performance insights
- Daily & weekly study planning
- Goal tracking for consistent learning
- Automated generation of downloadable study materials
- Structured formatting using ReportLab
- Useful for offline learning and revision
- Lightweight storage using JSON-based database
- Stores:
- User data
- Chat history
- Generated content
- Easy to extend to SQL / NoSQL systems
- High-performance backend built with FastAPI
- Modular API architecture
- Endpoints for:
- Content generation
- Quiz generation
- Mindmap generation
- Authentication
- Auto-documented via
/docs(Swagger UI)
- Responsive and interactive UI using Streamlit
- Real-time AI interaction
- Clean UX for seamless learning experience
- ⚡ Real-time AI response generation
- 🧩 Modular and scalable architecture
- 🔄 API-driven communication (Frontend ↔ Backend)
- ☁️ Deployment-ready (Render + Streamlit Cloud)
- 🔐 Secure environment variable handling
- AI-based learning platforms
- Smart study assistants
- EdTech SaaS applications
- Academic content generation tools
- Personalized education systems
- Python 3.11 – Primary programming language
- FastAPI – High-performance backend API framework
- Streamlit – Interactive frontend UI framework
- Groq API – Ultra-fast LLM inference engine
- LLaMA 3.3 (70B Versatile) – Generative AI model for:
- Content generation
- Quiz creation
- Mindmap generation
- Uvicorn – ASGI server for FastAPI
- Pydantic – Data validation & schema management
- REST API Architecture – Modular endpoint design
- Streamlit UI Components – Interactive dashboards
- Plotly – Data visualization & progress charts
- Custom CSS Styling – Enhanced UI/UX experience
- bcrypt – Secure password hashing
- Environment Variables (.env) – Secret management
- CORS Middleware – Cross-origin request handling
- JSON-based Storage – Lightweight data handling:
- Users
- Chat history
- Generated content
- Easily extendable to:
- PostgreSQL
- MongoDB
- ReportLab – Dynamic PDF generation for study materials
- Render – Backend deployment (FastAPI)
- Streamlit Cloud – Frontend deployment
- Docker – Containerization support
- GitHub – Version control & CI-ready workflow
- python-dotenv – Environment configuration
- httpx – Async HTTP requests
- Modular Project Architecture – Scalable code structure
- 🔹 Client–Server Architecture
- 🔹 API-Driven Communication
- 🔹 Modular Service-Based Design
- 🔹 AI-Integrated Backend System
personal-ai-learning-platform-v1/
│
├── app/
│ ├── __pycache__/
│ │
│ ├── api/
│ │ ├── __pycache__/
│ │ └── routes.py
│ │
│ ├── auth/
│ │ ├── __pycache__/
│ │ └── auth.py
│ │
│ ├── services/
│ │ ├── __pycache__/
│ │ └── llm_service.py
│ │
│ └── config.py
│
├── assets/
│ │
│ ├── user_access/
│ │ ├── login.png
│ │ └── register.png
│ │
│ ├── school/
│ │ ├── dashboard.png
│ │ ├── study_materials.png
│ │ ├── schedule_daily.png
│ │ ├── schedule_weekly.png
│ │ ├── goals_tracking.png
│ │ └── progress_chart.png
│ │
│ ├── college/
│ │ ├── placement_guides.png
│ │ ├── quizzes.png
│ │ ├── projects.png
│ │ └── progress.png
│ │
│ ├── exam_aspirant/
│ │ ├── study_plan.png
│ │ ├── tips.png
│ │ ├── assessment.png
│ │ └── progress.png
│ │
│ └── ai_features/
│ ├── content_generation.png
│ ├── quiz_generation.png
│ └── mindmap_generation.png
│
├── data/
│ ├── pdfs/
│ ├── chats.json
│ └── users.json
│
├── frontend/
│ ├── __pycache__/
│ └── app.py
│
├── venv/
│
├── .dockerignore
├── .env
├── .gitignore
├── Dockerfile
├── fastapi_server.py
├── main.py
├── run_all.py
├── requirements.txt
├── render.yaml
├── README
├── Licensegit clone https://github.com/22AD040/Advanced_AI_Learning.git
cd personal-ai-learning-platform-v1python -m venv venvWindows:
venv\Scripts\activatepip install -r requirements.txtCreate a .env file in the root directory:
GROQ_API_KEY=your_api_key_herepython fastapi_server.py📌 Backend will run at:
http://localhost:8000
📚 API Docs:
http://localhost:8000/docs
python -m streamlit run main.py📌 Frontend will run at:
http://localhost:8501
- Personalized learning experiences using Generative AI
- Dynamic study material generation based on user level
- Self-paced learning with intelligent recommendations
- Can be deployed as a multi-user educational platform
- Supports role-based access (School / College / Exam Aspirants)
- Scalable for institutions, coaching centers, and online academies
- Automated generation of:
- Study materials
- Quizzes
- Learning roadmaps (mindmaps)
- Reduces manual content creation effort for educators
- Acts as a virtual tutor for students
- Provides concept explanations, examples, and summaries
- Helps in revision and concept clarity
- AI-generated quizzes for:
- Practice tests
- Self-evaluation
- Competitive exam preparation
- Immediate feedback with explanations
- Tracks student progress and performance
- Provides insights into strengths and weaknesses
- Supports goal-based learning strategies
- Can be integrated into:
- Schools
- Colleges
- Coaching institutes
- Useful for digital classrooms and LMS systems
- Backend APIs can be exposed as:
- Content generation APIs
- Quiz generation APIs
- Mindmap APIs
- Enables integration with third-party applications
- Deployable on:
- Streamlit Cloud (Frontend)
- Render / Docker (Backend)
- Designed for future scaling with databases and microservices
- 📂 File Upload + RAG (Retrieval-Augmented Generation)
- 🧠 Vector Databases (FAISS / Pinecone)
- 🌐 Live Web Search Integration
- 📱 Mobile App Integration
- 🎯 Adaptive Learning (AI-driven personalization)
This project is developed for educational and demonstration purposes.
While the platform leverages advanced AI models for content generation, the accuracy, completeness, and reliability of the generated information are not guaranteed.
The author is not responsible for any misuse, misinterpretation, or consequences arising from the use of this system.
This platform follows basic privacy-friendly practices:
- Passwords are securely hashed using bcrypt
- API keys are managed via environment variables (
.env)
The system may store:
- User credentials
- Chat interactions
- Generated study content
These are used only for improving user experience within the application.
Users should treat responses as:
⚠️ "Assistive learning material, not authoritative truth"
By using this application, you agree to:
- Use the platform for educational purposes only
- Not misuse AI-generated content
- Not attempt unauthorized access or data manipulation
Ratchita B
AI & Data Science Student
Star ⭐ the repo if you like it!
MIT License