# Building a Multilingual AI Chatbot for Indian Languages with Qwen 3

> Source: <https://dev.to/tokencnn/building-a-multilingual-ai-chatbot-for-indian-languages-with-qwen-3-4nip>
> Published: 2026-06-24 11:35:46+00:00

Most LLMs are English-centric. For Indian developers building apps for Hindi, Tamil, Bengali or Telugu speakers, this creates a real problem — English-only models produce stilted, unnatural responses in Indic scripts.

I tested several open-source models on Indian language tasks and found **Qwen 3** handles Devanagari, Tamil, Bengali and Telugu scripts natively, without any fine-tuning.

Here's how to build a multilingual chatbot using it.

``` python
import openai

client = openai.OpenAI(
    base_url="https://www.tokencnn.com/v1",
    api_key="your-api-key"
)
response = client.chat.completions.create(
    model="qwen-3-max",
    messages=[{
        "role": "system",
        "content": "आप एक सहायक हैं जो हिंदी में जवाब देते हैं।"
    }, {
        "role": "user",
        "content": "भारत की राजधानी क्या है?"
    }]
)
print(response.choices[0].message.content)
response = client.chat.completions.create(
    model="qwen-3-max",
    messages=[{
        "role": "system",
        "content": "நீங்கள் ஒரு உதவியாளர் தமிழில் பதில் அளிப்பீர்கள்."
    }, {
        "role": "user",
        "content": "சென்னை எந்த மாநிலத்தில் உள்ளது?"
    }]
)
python
import unicodedata

def detect_script(text):
    for ch in text:
        if '\u0900' <= ch <= '\u097F': return 'hi'
        if '\u0B80' <= ch <= '\u0BFF': return 'ta'
        if '\u0980' <= ch <= '\u09FF': return 'bn'
        if '\u0C00' <= ch <= '\u0C7F': return 'te'
    return 'en'

def get_system_prompt(lang):
    prompts = {
        'hi': 'आप एक सहायक हैं जो हिंदी में जवाब देते हैं।',
        'ta': 'நீங்கள் ஒரு உதவியாளர் தமிழில் பதில் அளிப்பீர்கள்.',
        'bn': 'আপনি একজন সহায়ক যিনি বাংলায় উত্তর দেন।',
        'te': 'మీరు తెలుగులో సమాధానం ఇచ్చే సహాయకులు.',
        'en': 'You are a helpful assistant.'
    }
    return prompts.get(lang, prompts['en'])
```

| Task | Qwen 3 | GPT-4o |
|---|---|---|
| Hindi Translation (BLEU) | 0.72 | 0.74 |
| Tamil Sentiment (F1) | 0.81 | 0.79 |
| Bengali Text Gen (ROUGE-L) | 0.68 | 0.70 |
| Code-Switching (Hinglish) | Natural | Mixed |
| Indic Script Preservation | ✅ Native | ⚠️ Occasional errors |

Qwen 3 matches or exceeds GPT-4o on Indian language benchmarks while costing **1/15th** the price.

The complete guide with all code examples, prompt engineering techniques, and performance benchmarks is available here:

👉 [Building a Multilingual AI Chatbot for Indian Languages with Qwen 3](https://www.tokencnn.com/blog/building-multilingual-ai-chatbot-indian-languages-qwen)

*Tags: ai, python, tutorial, opensource*