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How FOMOA Handles Hindi and Hinglish Queries: India's Multilingual AI Assistant

How FOMOA Handles Hindi and Hinglish Queries: India's Multilingual AI Assistant

January 12, 2026
9 min read
Tushar Agrawal

65% of FOMOA's training is Hindi/Hinglish - 56,000+ samples. Automatic language detection, code-mixing support, and 89% accuracy on Hindi factual queries.

The Hindi Internet Reality

India has 600+ million Hindi speakers. Yet, most AI assistants treat Hindi as an afterthought - a feature bolted on through translation APIs rather than native understanding.

The result? Awkward responses, lost context, and frustrated users who eventually give up and switch to English.

FOMOA takes a fundamentally different approach: 65% of our training data is Hindi and Hinglish, making multilingual understanding a core capability, not an add-on.

Three Language Modes, Zero Manual Switching

FOMOA automatically detects and handles three distinct language modes:

1. Pure Hindi (शुद्ध हिंदी)

Query: "भारत की जनसंख्या कितनी है?"
(What is India's population?)

FOMOA Response:
भारत की जनसंख्या 2024 के अनुसार लगभग 1.44 अरब है।
यह विश्व की सबसे अधिक जनसंख्या वाला देश है।

स्रोत: जनगणना भारत (census2011.co.in), विश्व बैंक

2. Hinglish (Mixed Hindi-English)

Query: "Modi ji ke new schemes batao jo 2026 mein launch hue"
(Tell me Modi's new schemes launched in 2026)

FOMOA Response:
2026 mein launch hui kuch important schemes:

1. PM Vishwakarma Yojana expansion
   - Traditional artisans ke liye training aur loans
   - Rs 3 lakh tak ka loan bina guarantee ke

2. Ayushman Bharat - extended coverage
   - Ab 70 saal se zyada umar ke sabhi logo ko free treatment
   - New addition in 2024-25

3. PM Surya Ghar Muft Bijli Yojana
   - 1 crore gharo ko free solar panels
   - Monthly bijli bill zero ho sakta hai

Source: pib.gov.in, india.gov.in

3. Code-Mixed Queries

Query: "UPI transaction कैसे करें safely without getting scammed?"

FOMOA Response:
Safe UPI transactions ke liye ye steps follow करें:

1. **Official app use करें**
   - BHIM, GPay, PhonePe sirf Play Store/App Store se
   - Third-party APK kabhi download na करें

2. **PIN kabhi share na करें**
   - Bank ya UPI PIN कभी भी phone pe na बताएं
   - NPCI ya bank kabhi call karke PIN nahi mangta

3. **Request vs Pay समझें**
   - Scammers "Request" bhejte hैं payment ke naam pe
   - Payment lene ke liye PIN enter nahi karna होता

4. **Transaction limit set करें**
   - Daily limit 10-20K rakhein
   - Bade transactions ke liye temporarily बढ़ाएं

Sources: npci.org.in, rbi.org.in

Training Data: The Foundation of Fluency

Most "Hindi-supporting" AI assistants rely on translation layers. FOMOA is natively trained on Hindi content:

FOMOA's Hindi Training Composition
===================================

Total Hindi/Hinglish samples: 56,760 (65% of training)

Hindi Alpaca Dataset: 51,760 samples
├── Instruction-response pairs
├── Native Hindi speakers' input
├── Diverse topics coverage
├── Natural language patterns
└── Cultural context preservation

Hindi Wikipedia QA: 5,000 samples
├── Factual question-answers
├── Indian history & geography
├── Science in Hindi
├── Current affairs
└── Verified information

Why Native Training Matters

Translation-Based AI                Native Hindi AI (FOMOA)
====================                =======================

User: "Kya hai aapka naam?"         User: "Kya hai aapka naam?"
      ↓                                   ↓
Translate to English                Direct understanding
      ↓                                   ↓
Process: "What is your name?"       Process in Hindi context
      ↓                                   ↓
Generate English response           Generate Hindi response
      ↓                                   ↓
Translate back to Hindi             ✓ Natural response
      ↓
"आपका नाम क्या है?" (awkward)

Problems:                           Advantages:
- Context loss                      - Natural flow
- Formal/awkward tone               - Colloquial understanding
- Cultural nuances missed           - Idioms preserved
- 2x latency                        - Faster response

Automatic Language Detection

No toggle. No settings. No "please respond in Hindi" prefix required.

# How FOMOA detects language

def detect_language_mode(query: str) -> str:
    """
    FOMOA's language detection logic
    """
    # Check Devanagari script presence
    devanagari_chars = len(re.findall(r'[\u0900-\u097F]', query))
    total_chars = len(re.sub(r'\s', '', query))

    if total_chars == 0:
        return "english"

    devanagari_ratio = devanagari_chars / total_chars

    if devanagari_ratio > 0.8:
        return "pure_hindi"
    elif devanagari_ratio > 0.2:
        return "code_mixed"
    elif has_romanized_hindi(query):
        return "hinglish"
    else:
        return "english"

# Examples:
# "भारत की राजधानी क्या है?" → pure_hindi
# "Delhi ka weather कैसा है?" → code_mixed
# "Mujhe train ticket book karni hai" → hinglish
# "What is the capital of India?" → english

Query Expansion: Hindi Queries Search English Sources Too

When you ask in Hindi, FOMOA doesn't limit itself to Hindi sources:

Query: "भारत में सबसे अच्छा mutual fund 2026"
(Best mutual fund in India 2026)

FOMOA Search Expansion:
=======================

Hindi query expansion:
├── "भारत mutual fund 2026"
├── "सर्वश्रेष्ठ म्यूचुअल फंड भारत"
└── "mutual fund रिटर्न 2026"

English query expansion:
├── "best mutual funds India 2026"
├── "top performing mutual funds India"
└── "mutual fund returns comparison 2026"

Sources searched:
├── Hindi: moneycontrol.com/hindi, economictimes.com/hindi
├── English: valueresearchonline.com, screener.in
└── Official: sebi.gov.in, amfiindia.com

Result: Comprehensive answer combining all sources

Accuracy Benchmarks: Hindi Factual Queries

We continuously benchmark FOMOA against competitors on Hindi factual accuracy:

Hindi Factual Query Accuracy (January 2026)
==========================================

Query Type              FOMOA    ChatGPT    Gemini    Perplexity
---------              -----    -------    ------    ----------
Indian Geography        91%       72%       78%        70%
Government Schemes      89%       45%       52%        48%
Indian History          88%       80%       82%        75%
Current Affairs (IN)    92%       60%       68%        72%
Hindi Idioms/Proverbs   85%       35%       42%        30%
Hinglish Queries        94%       55%       60%        45%

Overall Hindi Accuracy: 89%      58%       64%        57%

How We Measure Accuracy

Accuracy Testing Methodology
============================

1. Query Set: 500 factual questions
   - 100 geography (states, capitals, rivers)
   - 100 government (schemes, ministries, policies)
   - 100 history (events, personalities, dates)
   - 100 current affairs (2024-25 events)
   - 100 language/culture (idioms, festivals)

2. Verification Sources:
   - Official government websites
   - Encyclopedia entries
   - News archives (verified)
   - Academic references

3. Scoring:
   - Correct fact: 1 point
   - Partially correct: 0.5 points
   - Incorrect/outdated: 0 points
   - Source citation bonus: +0.1 points

Real-World Use Cases

For Students

Scenario: UPSC preparation in Hindi

Query: "भारत के मौलिक अधिकारों की सूची बताइए"
(List the fundamental rights of India)

FOMOA Response:
भारतीय संविधान में 6 मौलिक अधिकार हैं (अनुच्छेद 12-35):

1. समानता का अधिकार (अनुच्छेद 14-18)
   - कानून के समक्ष समानता
   - जाति, धर्म के आधार पर भेदभाव की मनाही

2. स्वतंत्रता का अधिकार (अनुच्छेद 19-22)
   - भाषण की स्वतंत्रता
   - व्यवसाय की स्वतंत्रता

3. शोषण के विरुद्ध अधिकार (अनुच्छेद 23-24)
   - बाल श्रम पर प्रतिबंध
   - बेगार पर प्रतिबंध

4. धार्मिक स्वतंत्रता का अधिकार (अनुच्छेद 25-28)
   - किसी भी धर्म को मानने की स्वतंत्रता

5. संस्कृति और शिक्षा संबंधी अधिकार (अनुच्छेद 29-30)
   - अल्पसंख्यकों के शैक्षिक अधिकार

6. संवैधानिक उपचारों का अधिकार (अनुच्छेद 32)
   - सुप्रीम कोर्ट जाने का अधिकार

नोट: संपत्ति का अधिकार (अनुच्छेद 31) 44वें संशोधन (1978)
से मौलिक अधिकारों की सूची से हटाया गया।

स्रोत: india.gov.in, legislative.gov.in

For Government Employees

Scenario: Explaining scheme details to citizens

Query: "PM Kisan ka pura process batao registration se payment tak"

FOMOA Response:
PM-KISAN Complete Process:

📝 Registration:
1. pmkisan.gov.in पर जाएं
2. "New Farmer Registration" click करें
3. Aadhaar number डालें
4. Mobile OTP verify करें
5. Bank details भरें (IFSC code जरूरी)
6. Land records upload करें (खतौनी)

✅ Verification:
- Patwari द्वारा land verification
- State nodal officer approval
- Processing time: 15-30 days

💰 Payment Schedule:
- किस्त 1: April-July (₹2,000)
- किस्त 2: August-November (₹2,000)
- किस्त 3: December-March (₹2,000)
- Total: ₹6,000/year

📱 Status Check:
- pmkisan.gov.in → "Beneficiary Status"
- Aadhaar/Mobile number से check करें
- DBT status automatically update होता है

❌ Common Rejection Reasons:
- Aadhaar-bank link nahi hai
- Land records mismatch
- Income tax payer list mein naam
- Government job mein family member

Source: pmkisan.gov.in (Official)

For Rural Users

Scenario: First-time smartphone user querying in native Hindi

Query: "mujhe doctor se online baat karni hai kaise karu"

FOMOA Response (Simple Hindi):
Doctor se online baat karne ke liye:

📱 eSanjeevani App (Free - Government)
1. Play Store mein "eSanjeevani" search करें
2. App install करें
3. Mobile number se register करें
4. "Patient" option चुनें
5. Apni problem बताएं
6. Doctor video call पर मिलेंगे

⏰ Timing: Subah 9 baje se shaam 6 baje tak
💰 Fees: Bilkul FREE (Sarkari service)

Other Options:
- Practo app (Paid)
- 1mg app (Paid)
- Apollo 24/7 (Paid)

Government Helpline: 104 (Health)

Zaruri documents:
- Aadhaar card (photo)
- Purani reports (agar ho)

Technical Implementation for Developers

Integrate FOMOA's Hindi capabilities into your applications:

# Hindi-first integration example

from openai import OpenAI

client = OpenAI(
    base_url="https://fomoa.cloud/v1",
    api_key="your_api_key"
)

def ask_fomoa_hindi(query: str, prefer_hindi_response: bool = True):
    """
    Query FOMOA with automatic Hindi support
    """
    system_prompt = """
    You are FOMOA, an India-first AI assistant.
    - Respond in the same language as the query
    - For Hinglish queries, respond in Hinglish
    - Include relevant Indian sources
    - Use lakhs/crores for numbers when appropriate
    """

    if prefer_hindi_response:
        system_prompt += "\n- Prefer Hindi response if query is mixed"

    response = client.chat.completions.create(
        model="fomoa",
        messages=[
            {"role": "system", "content": system_prompt},
            {"role": "user", "content": query}
        ],
        temperature=0.7
    )

    return response.choices[0].message.content

# Usage examples
print(ask_fomoa_hindi("Ghar baithe paise kaise kamaye?"))
print(ask_fomoa_hindi("भारत में सबसे अच्छी IT companies कौन सी हैं?"))
print(ask_fomoa_hindi("Best laptop under 50000 in India 2026"))

Language Distribution by Use Case

FOMOA Query Language Analytics
==============================

User Segment          Hindi    Hinglish   English
------------          -----    --------   -------
Government schemes     78%       15%         7%
Education queries      45%       35%        20%
Finance/Banking        30%       40%        30%
Technology             15%       45%        40%
Healthcare             60%       25%        15%
Legal queries          55%       30%        15%
Shopping/Reviews       25%       50%        25%

Geographic Distribution:
- Tier-1 cities: 25% Hindi, 45% Hinglish, 30% English
- Tier-2 cities: 45% Hindi, 40% Hinglish, 15% English
- Tier-3 & rural: 70% Hindi, 25% Hinglish, 5% English

Why This Matters

India is not a monolingual country trying to learn English. It's a multilingual nation where:

  • 57% of internet users prefer content in Hindi
  • Code-mixing (Hinglish) is the natural communication style for millions
  • Government services are increasingly digitized, but citizens need information in their language
FOMOA bridges this gap - not by translating, but by natively understanding the linguistic reality of India.

---

Try FOMOA's Hindi capabilities at fomoa.cloud - type in any language, get accurate, culturally-aware responses.

Questions about integrating Hindi AI into your product? Connect on LinkedIn.

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