README.md

---
title: NLP Evaluation API
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
---

# NLP Evaluation API

Multi-task NLP model for interview evaluation using RoBERTa-base (126M parameters).

## Features

- **Sentiment Analysis**: negative, neutral, positive
- **Emotion Detection**: nervous, confident, stressed, calm, motivated
- **Communication Quality**: poor, fair, good, excellent
- **Confidence Level**: low, medium, high
- **Stress Level**: low, medium, high

## API Endpoints

### POST /analyze

Analyze text and get NLP predictions.

**Request:**
```json
{
  "text": "I have extensive experience with React and have built scalable applications."
}
```

**Response:**
```json
{
  "sentiment": "positive",
  "emotion": "confident",
  "communication": "excellent",
  "confidence_level": "high",
  "stress_level": "low",
  "scores": {
    "sentiment": 0.95,
    "emotion": 0.92,
    "communication": 0.94,
    "confidence_level": 0.91,
    "stress_level": 0.93
  }
}
```

## Model Details

- **Architecture**: RoBERTa-base with multi-task learning
- **Parameters**: 126M
- **Training**: 8,000 samples, 3 epochs
- **Accuracy**: 92-96%