A full-stack application for measuring emotional intelligence through an interactive quiz. The application uses React for the frontend and FastAPI for the backend, with Ollama-based LLM integration for question generation and evaluation.

• Interactive quiz interface with 10 random questions
• Objective questions with 4 options each
• Dynamic question generation using LLM
• Emotional intelligence scoring (out of 10)
• Detailed feedback and analysis

• Python 3.12+
• NodeJS 20+
• Ollama installed and running locally

emotional-intelligence-meter/
├── backend/                 # FastAPI backend
│   ├── app/
│   │   ├── main.py
│   │   └── services/
│   │       └── llm_service.py
│   └── requirements.txt
└── frontend/               # React frontend
    ├── public/
    │   └── index.html
    ├── src/
    │   └── App.js
    │   └── index.js
    └── package.json

Ensure you have the necessary models pulled in Ollama:

ollama pull llama3

Ensure Ollama is running:

ollama serve

1. Navigate to the backend directory
2. Create a virtual environment: python -m venv .venv
3. Activate the virtual environment:
   • Windows: venv\Scripts\activate
   • Unix/MacOS: source .venv/bin/activate
4. Install dependencies: pip install -r requirements.txt
5. Set environment variable to point Ollama instance, the default is: OLLAMA_HOST=http://localhost:11434
6. Run the server: uvicorn app.main:app --reload

1. Navigate to the frontend directory
2. Install dependencies: npm install
3. Start the development server: npm start

• Frontend: React, Material-UI
• Backend: FastAPI, Python
• LLM: llama3 hosted on Ollama

• GET /api/health: Basic health check of the API server
• GET /api/questions: Get 10 random questions
• POST /api/submit: Submit quiz answers and get evaluation