🎧 Study Buddy AI

Study Buddy AI LLMOps is an AI-powered learning assistant designed to generate, manage, and evaluate quizzes using Large Language Models (LLMs).
It combines the simplicity of Streamlit for the user interface with modern MLOps/LLMOps practices like containerization, CI/CD pipelines, and cloud deployment to ensure scalability, automation, and reliability.

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🚀 Features

• 🎯 Dynamic Quiz Generation
  Generate multiple-choice or fill-in-the-blank quizzes on any topic.

• 🧠 Customizable Difficulty
  Choose between Easy, Medium, and Hard levels.

• 🔢 Flexible Question Count
  Select the number of questions (1–10).

• 📝 Interactive Quiz Attempt
  Answer questions directly in the web app.

• ✅ Automatic Evaluation
  Results are scored instantly, with detailed feedback.

• 📊 Result Export
  Save quiz results as CSV files and download them for later review.

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🛠️ Tech Stack

1. Groq → LLM (Free)

2. DockerHub → Platform for storing our Docker images

3. LangChain → Generative AI Framework to interact with LLM

4. GIT-OPS → Deploy and manage infrastructure or applications using Git as the single source of truth

5. Minikube → For making a Kubernetes Cluster where we can deploy our application

6. Streamlit → To build the UI or frontend of the app

7. Docker → For containerization of the app during deployment

8. Jenkins → For making CI (Continuous Integration) part of CI/CD Pipeline

9. ArgoCD → For making CD (Continuous Deployment) part of CI/CD Pipeline

10. GCP VM → *Virtual Machine that can be accesed on Google cloud *

11. GitHub → It will work as a SCM for our Project

• Streamlit – UI framework
• Python 3.11+ – Core language
• Pandas – Result data handling
• dotenv – Environment variable management
• LLM API (Groq / OpenAI compatible) – For generating quiz questions

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🏗️ System Architecture & Workflow (Flowchart)

                ┌───────────────────────┐
                │   Project & API Setup │
                └───────────┬───────────┘
                            │
                ┌───────────▼───────────┐
                │   Configuration Code   │
                └───────────┬───────────┘
                            │
                ┌───────────▼───────────┐
                │ Question Schemas/Models│
                └───────────┬───────────┘
                            │
                ┌───────────▼───────────┐
                │  Prompt Templates Code │
                └───────────┬───────────┘
                            │
                ┌───────────▼───────────┐
                │  Groq Client Setup     │
                └───────────┬───────────┘
                            │
                ┌───────────▼───────────┐
                │ Question Generator Code│
                └───────────┬───────────┘
                            │
                ┌───────────▼───────────┐
                │   Helper Class Codes   │
                └────────────────────────┘


APPLICATION
────────────
    ┌─────────────────┐
    │ Main Application│
    └────────┬────────┘
             │
 VERSIONING & CONTAINERIZATION
 ─────────────────────────────
    ┌─────────────┐   ┌───────────────┐
    │ Code Version│──▶│   Dockerfile  │
    └─────────────┘   └───────────────┘


INFRASTRUCTURE & DEPLOYMENT
────────────────────────────
    ┌───────────────────────┐
    │ Kubernetes Manifests  │
    └───────────┬───────────┘
                │
    ┌───────────▼───────────┐
    │ GCP VM Instance Setup │
    └───────────────────────┘


CI/CD PIPELINE
───────────────
    ┌────────────┐
    │ Jenkins    │
    └──────┬─────┘
           │
    ┌──────▼──────┐
    │ GitHub +    │
    │ Jenkins     │
    └──────┬──────┘
           │
    ┌──────▼────────┐
    │ Build & Push  │
    │ Docker Image  │
    └──────┬────────┘
           │
    ┌──────▼───────┐
    │ ArgoCD Setup │
    └──────┬───────┘
           │
    ┌──────▼────────┐
    │ GitHub Webhooks│
    └───────────────┘