Initial commit: Anvesha AI sovereign search engine

.gitignore

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+# Dependencies
+node_modules/
+dist/
+build/
+.next/
+
+# Environment Variables
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+backend/.env
+frontend/.env
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+venv/
+.venv/
+env/
+.env/
+
+# IDEs
+.vscode/
+.idea/
+
+# OS files
+.DS_Store
+Thumbs.db
+
+# Docker
+.docker/

backend/.env.template

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+# Anvesha AI - Environment Variables Template
+# Copy this file to .env and fill in your values.
+
+# ── Sarvam AI ──────────────────────────────────────────────────
+SARVAM_API_KEY=your_sarvam_api_key_here
+SARVAM_API_BASE=https://api.sarvam.ai/v1
+SARVAM_ROUTER_MODEL=sarvam-30b
+SARVAM_SYNTH_MODEL=sarvam-105b
+
+# ── Local Search Orchestration ─────────────────────────────────
+SEARXNG_BASE_URL=http://localhost:8080
+SEARCH_REGION_DEFAULT=in-en
+SEARCH_LANG_DEFAULT=en
+
+# ── Frontend ───────────────────────────────────────────────────
+FRONTEND_URL=http://localhost:3000

backend/Dockerfile

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+FROM python:3.13-slim
+
+WORKDIR /app
+
+# Install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Expose port
+EXPOSE 8000
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
+  CMD python -c "import httpx; httpx.get('http://localhost:8000/')" || exit 1
+
+# Run with uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

backend/config.py

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+from pydantic_settings import BaseSettings
+from functools import lru_cache
+
+
+class Settings(BaseSettings):
+    """
+    Anvesha AI backend configuration.
+    All values are loaded from the .env file in the backend directory.
+    """
+
+    # ── Sarvam AI ──────────────────────────────────────────────
+    SARVAM_API_KEY: str = ""
+    SARVAM_API_BASE: str = "https://api.sarvam.ai/v1"
+    SARVAM_ROUTER_MODEL: str = "sarvam-30b"
+    SARVAM_SYNTH_MODEL: str = "sarvam-105b"
+
+    # ── SearxNG ────────────────────────────────────────────────
+    SEARXNG_BASE_URL: str = "http://localhost:8080"
+    SEARCH_REGION_DEFAULT: str = "in-en"
+    SEARCH_LANG_DEFAULT: str = "en"
+
+    # ── Frontend ───────────────────────────────────────────────
+    FRONTEND_URL: str = "http://localhost:3000"
+
+    model_config = {
+        "env_file": ".env",
+        "env_file_encoding": "utf-8",
+        "extra": "ignore",
+    }
+
+
+@lru_cache()
+def get_settings() -> Settings:
+    """Cached singleton for app settings."""
+    return Settings()

backend/main.py

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+import asyncio
+import logging
+from fastapi import FastAPI, File, Query, UploadFile
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+import httpx
+from typing import Optional
+
+from config import get_settings
+from sarvam_service import (
+    route_query,
+    synthesize_response,
+    speech_to_text,
+    text_to_speech,
+)
+
+# ── Logging ────────────────────────────────────────────────────
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger("anvesha.api")
+
+# ── App ────────────────────────────────────────────────────────
+settings = get_settings()
+app = FastAPI(
+    title="Anvesha AI Backend",
+    description="Sovereign Indian search & intelligence API",
+    version="0.4.0",
+)
+
+# CORS: allow frontend dev server
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=[settings.FRONTEND_URL],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+# ── Request / Response Models ──────────────────────────────────
+
+class AskRequest(BaseModel):
+    query: str
+    region: str = "in-en"
+
+
+class Citation(BaseModel):
+    index: int
+    title: str
+    url: str
+    is_gov: bool = False
+
+
+class SutraResponse(BaseModel):
+    summary: str
+    citations: list[Citation] = []
+
+
+class AskResponse(BaseModel):
+    sutra: SutraResponse
+    raw_results: list[dict] = []
+    routed_queries: list[str] = []
+
+
+class TTSRequest(BaseModel):
+    text: str
+    language: str = "en-IN"
+    speaker: str = "meera"
+
+
+class TTSResponse(BaseModel):
+    audio_base64: str
+
+
+class STTResponse(BaseModel):
+    text: str
+
+
+# ── Helpers ────────────────────────────────────────────────────
+
+async def _searxng_search(client: httpx.AsyncClient, query: str, region: str) -> list[dict]:
+    """Execute a single SearxNG search and return results."""
+    try:
+        response = await client.get(
+            f"{settings.SEARXNG_BASE_URL}/search",
+            params={
+                "q": query,
+                "format": "json",
+                "pageno": 1,
+                "time_range": "",
+                "language": region.split("-")[1] if "-" in region else "en",
+                "safesearch": 0,
+            },
+            timeout=15.0,
+        )
+        response.raise_for_status()
+        data = response.json()
+        return data.get("results", [])
+    except Exception as e:
+        logger.warning(f"SearxNG search failed for '{query}': {e}")
+        return []
+
+
+def _deduplicate_results(results: list[dict]) -> list[dict]:
+    """Remove duplicate results by URL, preserving order."""
+    seen_urls = set()
+    unique = []
+    for r in results:
+        url = r.get("url", "")
+        if url and url not in seen_urls:
+            seen_urls.add(url)
+            unique.append(r)
+    return unique
+
+
+# ── Endpoints ──────────────────────────────────────────────────
+
+@app.get("/")
+def read_root():
+    return {"message": "Welcome to Anvesha AI Backend", "version": "0.4.0"}
+
+
+@app.get("/search")
+async def search(
+    q: str = Query(..., description="Search query"),
+    region: Optional[str] = Query("in-en", description="Search region"),
+):
+    """Direct SearxNG pass-through (Week 1 legacy endpoint)."""
+    async with httpx.AsyncClient() as client:
+        try:
+            response = await client.get(
+                f"{settings.SEARXNG_BASE_URL}/search",
+                params={
+                    "q": q,
+                    "format": "json",
+                    "pageno": 1,
+                    "time_range": "",
+                    "language": region.split("-")[1] if "-" in region else "en",
+                    "safesearch": 0,
+                },
+                timeout=15.0,
+            )
+            response.raise_for_status()
+            return response.json()
+        except Exception as e:
+            return {"error": str(e)}
+
+
+@app.post("/ask", response_model=AskResponse)
+async def ask(request: AskRequest):
+    """
+    🧠 The Intelligence Pipeline — Week 3
+
+    Full pipeline:
+    1. Router (Sarvam 30B) decomposes the user query into optimized searches
+    2. Fan-out SearxNG searches for each optimized query
+    3. Deduplicate results
+    4. Synthesizer (Sarvam 105B) generates a cited Sutra response
+    5. Return the Sutra + raw results
+    """
+    logger.info(f"🔍 ASK request: '{request.query}'")
+
+    # Step 1: Route the query
+    routed_queries = await route_query(request.query)
+    logger.info(f"Routed queries: {routed_queries}")
+
+    # Step 2: Fan-out SearxNG searches
+    async with httpx.AsyncClient() as client:
+        tasks = [
+            _searxng_search(client, q, request.region)
+            for q in routed_queries
+        ]
+        all_results = await asyncio.gather(*tasks)
+
+    merged = []
+    for result_list in all_results:
+        merged.extend(result_list)
+
+    # Step 3: Deduplicate
+    unique_results = _deduplicate_results(merged)
+    logger.info(f"{len(merged)} total → {len(unique_results)} unique results")
+
+    # Step 4: Synthesize
+    sutra_data = await synthesize_response(request.query, unique_results)
+
+    # Step 5: Return
+    sutra = SutraResponse(
+        summary=sutra_data.get("summary", ""),
+        citations=[
+            Citation(
+                index=c.get("index", i + 1),
+                title=c.get("title", ""),
+                url=c.get("url", ""),
+                is_gov=c.get("is_gov", False),
+            )
+            for i, c in enumerate(sutra_data.get("citations", []))
+        ],
+    )
+
+    return AskResponse(
+        sutra=sutra,
+        raw_results=unique_results[:20],
+        routed_queries=routed_queries,
+    )
+
+
+# ── Voice Endpoints — Week 4 ──────────────────────────────────
+
+@app.post("/voice-to-text", response_model=STTResponse)
+async def voice_to_text(
+    file: UploadFile = File(..., description="Audio file (WAV, MP3, WebM, OGG)"),
+    language: str = Query("en-IN", description="Language code (e.g. hi-IN, en-IN)"),
+):
+    """
+    🎙️ Speech-to-Text — Sarvam Saaras V3
+
+    Accepts an audio file upload and returns the transcribed text.
+    """
+    logger.info(f"🎙️ STT request: {file.filename} ({language})")
+
+    audio_bytes = await file.read()
+    if not audio_bytes:
+        return STTResponse(text="")
+
+    try:
+        transcript = await speech_to_text(audio_bytes, language_code=language)
+        logger.info(f"✅ STT complete: '{transcript[:60]}...'")
+        return STTResponse(text=transcript)
+    except Exception as e:
+        logger.error(f"STT endpoint error: {e}")
+        return STTResponse(text=f"[Voice recognition error: {str(e)}]")
+
+
+@app.post("/text-to-voice", response_model=TTSResponse)
+async def text_to_voice(request: TTSRequest):
+    """
+    🔊 Text-to-Speech — Sarvam Bulbul V3
+
+    Accepts text and returns base64-encoded WAV audio.
+    """
+    logger.info(f"🔊 TTS request: '{request.text[:60]}...' ({request.language})")
+
+    if not request.text.strip():
+        return TTSResponse(audio_base64="")
+
+    try:
+        audio_b64 = await text_to_speech(
+            text=request.text,
+            target_language_code=request.language,
+            speaker=request.speaker,
+        )
+        logger.info(f"✅ TTS complete: {len(audio_b64)} base64 chars")
+        return TTSResponse(audio_base64=audio_b64)
+    except Exception as e:
+        logger.error(f"TTS endpoint error: {e}")
+        return TTSResponse(audio_base64="")

backend/probe_instances.py

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+import httpx
+import json
+import sys
+
+headers = {
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
+    "Accept": "application/json, text/html",
+}
+params = {"q": "India government digital scheme", "format": "json"}
+
+urls = [
+    "https://search.inetol.net/search",
+    "https://search.hbubli.cc/search",
+]
+
+for u in urls:
+    print(f"\nTrying {u}...")
+    try:
+        r = httpx.get(u, params=params, headers=headers, timeout=15, follow_redirects=True)
+        print(f"  Status: {r.status_code}")
+        ct = r.headers.get("content-type", "unknown")
+        print(f"  Content-Type: {ct}")
+        print(f"  Body (first 500 chars): {r.text[:500]}")
+    except Exception as e:
+        print(f"  Error: {e}")

backend/requirements.txt

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+fastapi
+uvicorn
+httpx
+pydantic
+pydantic-settings
+python-dotenv
+openai
+python-multipart

backend/sarvam_service.py

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+"""
+sarvam_service.py — Sarvam AI Integration for Anvesha AI
+
+Router      (Sarvam 30B):   Decomposes a user query into optimized SearxNG searches.
+Synthesizer (Sarvam 105B):  Generates a cited "Sutra" response from search results.
+STT         (Saaras V3):    Speech-to-text for voice input.
+TTS         (Bulbul V3):    Text-to-speech for audio output.
+"""
+
+import base64
+import json
+import logging
+import httpx
+from openai import AsyncOpenAI
+from config import get_settings
+
+logger = logging.getLogger("anvesha.sarvam")
+
+# ─────────────────────────────────────────────────────────────────
+# Client factory
+# ─────────────────────────────────────────────────────────────────
+
+def _get_client() -> AsyncOpenAI:
+    """Create an AsyncOpenAI client pointed at the Sarvam API."""
+    settings = get_settings()
+    if not settings.SARVAM_API_KEY:
+        raise ValueError(
+            "SARVAM_API_KEY is not set. "
+            "Please add it to your .env file (see .env.template)."
+        )
+    return AsyncOpenAI(
+        api_key=settings.SARVAM_API_KEY,
+        base_url=settings.SARVAM_API_BASE,
+    )
+
+
+# ─────────────────────────────────────────────────────────────────
+# 1. THE ROUTER — Sarvam 30B
+# ─────────────────────────────────────────────────────────────────
+
+ROUTER_SYSTEM_PROMPT = """\
+You are a search-query optimizer for an Indian sovereign search engine called Anvesha AI.
+
+Given a user's natural-language question, produce 3 to 5 independent, \
+optimized web-search queries that will retrieve the most relevant results. \
+Focus on Indian context and government sources (.gov.in) where appropriate.
+
+Rules:
+1. Each query should target a different facet of the user's intent.
+2. Include at least one query that specifically targets Indian government \
+   sources (add "site:gov.in" where it makes sense).
+3. Keep queries concise (5-10 words each).
+4. Return ONLY a JSON array of strings, no other text.
+
+Example input:  "Latest union budget highlights"
+Example output: ["Union Budget 2025-26 key highlights", \
+"site:gov.in union budget 2025 document", \
+"India budget tax changes summary", \
+"budget allocation education health India 2025"]
+"""
+
+
+async def route_query(user_query: str) -> list[str]:
+    """
+    Router — uses Sarvam 30B to decompose a natural-language query
+    into 3–5 optimized search queries for SearxNG.
+
+    Args:
+        user_query: The raw user question, e.g. "Latest budget news"
+
+    Returns:
+        A list of 3–5 optimized search query strings.
+
+    Raises:
+        ValueError: If the API key is missing.
+        Exception: On API or parsing errors (logged and re-raised).
+    """
+    settings = get_settings()
+    client = _get_client()
+
+    try:
+        response = await client.chat.completions.create(
+            model=settings.SARVAM_ROUTER_MODEL,
+            messages=[
+                {"role": "system", "content": ROUTER_SYSTEM_PROMPT},
+                {"role": "user", "content": user_query},
+            ],
+            temperature=0.3,
+            max_tokens=512,
+        )
+
+        raw = response.choices[0].message.content.strip()
+        logger.info(f"Router raw response: {raw}")
+
+        # Parse JSON array — handle markdown code fences if present
+        cleaned = raw
+        if cleaned.startswith("```"):
+            # Strip ```json ... ``` wrapping
+            lines = cleaned.split("\n")
+            cleaned = "\n".join(
+                line for line in lines
+                if not line.strip().startswith("```")
+            )
+
+        queries = json.loads(cleaned)
+
+        if not isinstance(queries, list) or not all(isinstance(q, str) for q in queries):
+            raise ValueError(f"Expected a JSON array of strings, got: {type(queries)}")
+
+        # Clamp to 3-5 queries
+        return queries[:5] if len(queries) > 5 else queries
+
+    except json.JSONDecodeError as e:
+        logger.error(f"Router JSON parse error: {e}. Raw: {raw}")
+        # Fallback: return the original query so search still works
+        return [user_query]
+    except Exception as e:
+        logger.error(f"Router error: {e}")
+        # Graceful degradation — use original query
+        return [user_query]
+
+
+# ─────────────────────────────────────────────────────────────────
+# 2. THE SYNTHESIZER — Sarvam 105B
+# ─────────────────��───────────────────────────────────────────────
+
+SYNTH_SYSTEM_PROMPT = """\
+You are a sovereign Indian intelligence engine called Anvesha AI. \
+Your purpose is to synthesize search results into a clear, authoritative, \
+and well-cited response following the "Sutra" format.
+
+Rules:
+1. Provide a comprehensive yet concise summary answering the user's query.
+2. Use inline citations like [1], [2], etc. that correspond to the source numbers.
+3. PRIORITIZE information from .gov.in sources — cite them first and prominently.
+4. If a .gov.in source is available, always prefer it over other sources.
+5. At the end, list all citations with their source URLs.
+6. Maintain a professional, authoritative tone appropriate for policy research.
+7. If the search results don't contain relevant information, say so honestly.
+
+Return your response as JSON with this exact structure:
+{
+  "summary": "Your synthesized response with [1], [2] inline citations...",
+  "citations": [
+    {"index": 1, "title": "Source title", "url": "https://...", "is_gov": true},
+    {"index": 2, "title": "Source title", "url": "https://...", "is_gov": false}
+  ]
+}
+
+Return ONLY valid JSON, no other text.
+"""
+
+
+def _format_context(search_results: list[dict]) -> str:
+    """Format search results into a numbered context block for the LLM."""
+    lines = []
+    for i, result in enumerate(search_results, 1):
+        title = result.get("title", "Untitled")
+        url = result.get("url", "")
+        content = result.get("content", "")
+        is_gov = ".gov.in" in url
+        gov_marker = " [GOV.IN SOURCE]" if is_gov else ""
+
+        lines.append(
+            f"[{i}]{gov_marker}\n"
+            f"Title: {title}\n"
+            f"URL: {url}\n"
+            f"Content: {content}\n"
+        )
+    return "\n---\n".join(lines)
+
+
+async def synthesize_response(
+    user_query: str,
+    search_results: list[dict],
+) -> dict:
+    """
+    Synthesizer — uses Sarvam 105B to generate a cited "Sutra" response
+    from search results, prioritizing .gov.in sources.
+
+    Args:
+        user_query: The original user question.
+        search_results: List of dicts with keys: title, url, content.
+
+    Returns:
+        A dict with "summary" (str with inline [N] citations) and
+        "citations" (list of citation dicts).
+
+    Raises:
+        ValueError: If the API key is missing.
+        Exception: On API or parsing errors (logged, returns fallback).
+    """
+    if not search_results:
+        return {
+            "summary": "No search results were found for your query. "
+                       "Please try rephrasing or broadening your search.",
+            "citations": [],
+        }
+
+    settings = get_settings()
+    client = _get_client()
+
+    # Sort results: .gov.in sources first
+    sorted_results = sorted(
+        search_results,
+        key=lambda r: 0 if ".gov.in" in r.get("url", "") else 1,
+    )
+
+    context = _format_context(sorted_results[:15])  # Limit to top 15
+
+    try:
+        response = await client.chat.completions.create(
+            model=settings.SARVAM_SYNTH_MODEL,
+            messages=[
+                {"role": "system", "content": SYNTH_SYSTEM_PROMPT},
+                {
+                    "role": "user",
+                    "content": (
+                        f"User Query: {user_query}\n\n"
+                        f"Search Results:\n{context}"
+                    ),
+                },
+            ],
+            temperature=0.4,
+            max_tokens=2048,
+        )
+
+        raw = response.choices[0].message.content.strip()
+        logger.info(f"Synthesizer raw response length: {len(raw)} chars")
+
+        # Parse JSON — handle markdown code fences
+        cleaned = raw
+        if cleaned.startswith("```"):
+            lines = cleaned.split("\n")
+            cleaned = "\n".join(
+                line for line in lines
+                if not line.strip().startswith("```")
+            )
+
+        result = json.loads(cleaned)
+
+        # Validate structure
+        if "summary" not in result:
+            result["summary"] = raw  # Fallback to raw text
+        if "citations" not in result:
+            result["citations"] = []
+
+        return result
+
+    except json.JSONDecodeError as e:
+        logger.error(f"Synthesizer JSON parse error: {e}")
+        # Return raw text as summary with basic citations
+        return {
+            "summary": raw if 'raw' in dir() else "Failed to generate response.",
+            "citations": [
+                {
+                    "index": i + 1,
+                    "title": r.get("title", ""),
+                    "url": r.get("url", ""),
+                    "is_gov": ".gov.in" in r.get("url", ""),
+                }
+                for i, r in enumerate(sorted_results[:10])
+            ],
+        }
+    except Exception as e:
+        logger.error(f"Synthesizer error: {e}")
+        return {
+            "summary": f"An error occurred while generating the response: {str(e)}",
+            "citations": [],
+        }
+
+
+# ─────────────────────────────────────────────────────────────────
+# 3. SPEECH-TO-TEXT — Saaras V3
+# ─────────────────────────────────────────────────────────────────
+
+SARVAM_STT_URL = "https://api.sarvam.ai/speech-to-text"
+
+
+async def speech_to_text(
+    audio_bytes: bytes,
+    language_code: str = "hi-IN",
+    model: str = "saaras:v3",
+) -> str:
+    """
+    Convert speech audio to text using Sarvam Saaras V3.
+
+    Args:
+        audio_bytes: Raw audio file bytes (WAV, MP3, WebM, OGG).
+        language_code: BCP-47 language code (e.g. "hi-IN", "en-IN").
+        model: Sarvam STT model identifier.
+
+    Returns:
+        Transcribed text string.
+    """
+    settings = get_settings()
+    if not settings.SARVAM_API_KEY:
+        raise ValueError("SARVAM_API_KEY is not set.")
+
+    try:
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(
+                SARVAM_STT_URL,
+                headers={"api-subscription-key": settings.SARVAM_API_KEY},
+                data={
+                    "language_code": language_code,
+                    "model": model,
+                    "with_timestamps": "false",
+                },
+                files={"file": ("audio.wav", audio_bytes, "audio/wav")},
+            )
+            response.raise_for_status()
+            data = response.json()
+            transcript = data.get("transcript", "")
+            logger.info(f"STT result ({language_code}): '{transcript[:80]}...'")
+            return transcript
+
+    except Exception as e:
+        logger.error(f"STT error: {e}")
+        raise
+
+
+# ─────────────────────────────────────────────────────────────────
+# 4. TEXT-TO-SPEECH — Bulbul V3
+# ─────────────────────────────────────────────────────────────────
+
+SARVAM_TTS_URL = "https://api.sarvam.ai/text-to-speech"
+
+# Available Bulbul V3 speakers
+DEFAULT_SPEAKER = "meera"  # Natural female Indian voice
+
+
+async def text_to_speech(
+    text: str,
+    target_language_code: str = "hi-IN",
+    speaker: str = DEFAULT_SPEAKER,
+    model: str = "bulbul:v3",
+    pace: float = 1.0,
+) -> str:
+    """
+    Convert text to speech using Sarvam Bulbul V3.
+
+    Args:
+        text: The text to convert (max 2500 chars).
+        target_language_code: BCP-47 language code for output audio.
+        speaker: Voice name from Bulbul V3 library.
+        model: Sarvam TTS model identifier.
+        pace: Speech speed multiplier (0.5–2.0).
+
+    Returns:
+        Base64-encoded WAV audio string.
+    """
+    settings = get_settings()
+    if not settings.SARVAM_API_KEY:
+        raise ValueError("SARVAM_API_KEY is not set.")
+
+    # Truncate to Bulbul V3 limit
+    if len(text) > 2500:
+        text = text[:2497] + "..."
+
+    try:
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            response = await client.post(
+                SARVAM_TTS_URL,
+                headers={
+                    "api-subscription-key": settings.SARVAM_API_KEY,
+                    "Content-Type": "application/json",
+                },
+                json={
+                    "inputs": [text],
+                    "target_language_code": target_language_code,
+                    "speaker": speaker,
+                    "model": model,
+                    "pace": pace,
+                    "enable_preprocessing": True,
+                },
+            )
+            response.raise_for_status()
+            data = response.json()
+            audios = data.get("audios", [])
+
+            if not audios:
+                raise ValueError("No audio returned from TTS API")
+
+            audio_base64 = audios[0]
+            logger.info(
+                f"TTS result ({target_language_code}, {speaker}): "
+                f"{len(audio_base64)} base64 chars"
+            )
+            return audio_base64
+
+    except Exception as e:
+        logger.error(f"TTS error: {e}")
+        raise

backend/test_sarvam.py

@@ -0,0 +1,122 @@
+"""
+test_sarvam.py — Quick tests for the Sarvam AI service layer.
+
+Run: python test_sarvam.py
+Requires: SARVAM_API_KEY set in .env
+"""
+
+import asyncio
+import json
+import sys
+from config import get_settings
+from sarvam_service import route_query, synthesize_response
+
+
+def print_section(title: str):
+    print(f"\n{'='*60}")
+    print(f"  {title}")
+    print(f"{'='*60}\n")
+
+
+async def test_router():
+    """Test the Router (Sarvam 30B) query decomposition."""
+    print_section("TEST 1: Router — Query Decomposition (Sarvam 30B)")
+
+    test_queries = [
+        "Latest budget news",
+        "RTI Act rules and amendments",
+        "Digital India initiative progress 2025",
+    ]
+
+    for query in test_queries:
+        print(f"Input:  \"{query}\"")
+        try:
+            result = await route_query(query)
+            print(f"Output: {json.dumps(result, indent=2)}")
+            print(f"Count:  {len(result)} queries")
+            assert isinstance(result, list), "Expected list"
+            assert len(result) >= 1, "Expected at least 1 query"
+            print("Status: ✅ PASS\n")
+        except Exception as e:
+            print(f"Status: ❌ FAIL — {e}\n")
+
+
+async def test_synthesizer():
+    """Test the Synthesizer (Sarvam 105B) with mock search results."""
+    print_section("TEST 2: Synthesizer — Sutra Generation (Sarvam 105B)")
+
+    mock_results = [
+        {
+            "title": "Union Budget 2025-26 Highlights",
+            "url": "https://www.indiabudget.gov.in/highlights",
+            "content": "The Union Budget 2025-26 proposes significant changes to income tax slabs, "
+                       "with the new regime offering zero tax up to ₹12 lakh. Infrastructure spending "
+                       "increased to ₹11.2 lakh crore.",
+        },
+        {
+            "title": "Budget 2025: Key Takeaways for Indian Economy",
+            "url": "https://economictimes.indiatimes.com/budget-2025",
+            "content": "Finance Minister announced major agricultural reforms and a new urban housing scheme. "
+                       "The fiscal deficit target is set at 4.4% of GDP.",
+        },
+        {
+            "title": "Digital India Budget Allocation 2025",
+            "url": "https://www.digitalindia.gov.in/budget-2025",
+            "content": "Digital India received ₹15,000 crore allocation for AI research and semiconductor "
+                       "manufacturing. New centres of excellence to be established across 10 states.",
+        },
+        {
+            "title": "Budget Analysis by Financial Experts",
+            "url": "https://www.moneycontrol.com/budget-analysis",
+            "content": "Market analysts view the budget positively, expecting GDP growth of 7% in FY26. "
+                       "FDI reforms could attract $100 billion in investments.",
+        },
+    ]
+
+    query = "What are the highlights of the 2025 Union Budget?"
+    print(f"Query:   \"{query}\"")
+    print(f"Context: {len(mock_results)} search results ({sum(1 for r in mock_results if '.gov.in' in r['url'])} .gov.in)\n")
+
+    try:
+        result = await synthesize_response(query, mock_results)
+        print(f"Summary:\n{result.get('summary', 'N/A')}\n")
+        print(f"Citations ({len(result.get('citations', []))}):")
+        for c in result.get("citations", []):
+            gov_tag = " 🏛️ GOV.IN" if c.get("is_gov") else ""
+            print(f"  [{c.get('index')}] {c.get('title', 'N/A')} — {c.get('url', 'N/A')}{gov_tag}")
+        print("\nStatus: ✅ PASS")
+    except Exception as e:
+        print(f"Status: ❌ FAIL — {e}")
+
+
+async def test_synthesizer_empty():
+    """Test the Synthesizer with no results."""
+    print_section("TEST 3: Synthesizer — Empty Results")
+
+    result = await synthesize_response("test query", [])
+    print(f"Summary: {result.get('summary', 'N/A')}")
+    assert "no search results" in result["summary"].lower() or "No search results" in result["summary"]
+    print("Status: ✅ PASS")
+
+
+async def main():
+    settings = get_settings()
+    print(f"Sarvam API Base: {settings.SARVAM_API_BASE}")
+    print(f"Router Model:    {settings.SARVAM_ROUTER_MODEL}")
+    print(f"Synth Model:     {settings.SARVAM_SYNTH_MODEL}")
+    print(f"API Key:         {'***' + settings.SARVAM_API_KEY[-4:] if settings.SARVAM_API_KEY else 'NOT SET'}")
+
+    if not settings.SARVAM_API_KEY or settings.SARVAM_API_KEY == "your_sarvam_api_key_here":
+        print("\n⚠️  SARVAM_API_KEY is not configured.")
+        print("   Set it in backend/.env to run live tests.")
+        print("   Running offline tests only...\n")
+        await test_synthesizer_empty()
+        return
+
+    await test_router()
+    await test_synthesizer()
+    await test_synthesizer_empty()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

backend/test_search.py

@@ -0,0 +1,205 @@
+"""
+Anvesha AI - Week 1 Heartbeat Test
+===================================
+Tests our SearxNG integration and validates Indian source retrieval.
+"""
+import httpx
+import json
+import re
+import sys
+from html import unescape
+
+def test_local_searxng():
+    """Test local SearxNG Docker instance."""
+    url = "http://localhost:8080/search"
+    params = {"q": "India government digital scheme", "format": "json"}
+    
+    print("=" * 60)
+    print("STEP 1: Testing Local SearxNG Docker Instance")
+    print("=" * 60)
+    
+    try:
+        response = httpx.get(url, params=params, timeout=15.0)
+        response.raise_for_status()
+        data = response.json()
+        results = data.get("results", [])
+        unresponsive = data.get("unresponsive_engines", [])
+        
+        if results:
+            print(f"SUCCESS: Local SearxNG returned {len(results)} results!")
+            return data
+        else:
+            print(f"Local SearxNG returned 0 results.")
+            if unresponsive:
+                print(f"  Unresponsive engines: {[e[0] for e in unresponsive]}")
+                print(f"  Docker container cannot reach external search engines.")
+                print(f"  Fix: Restart Docker Desktop / reset WSL2 network.")
+            return None
+    except Exception as e:
+        print(f"Local SearxNG unreachable: {e}")
+        return None
+
+
+def test_host_search():
+    """Direct search from host machine as fallback proof-of-concept."""
+    print("\n" + "=" * 60)
+    print("STEP 2: Direct Host Search (Proof-of-Concept Fallback)")
+    print("=" * 60)
+    print("Since Docker NAT is broken, searching from host directly...")
+    
+    url = "https://html.duckduckgo.com/html/"
+    params = {"q": "India government digital scheme site:gov.in OR site:nic.in"}
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36",
+    }
+    
+    try:
+        response = httpx.post(url, data=params, headers=headers, timeout=15.0, follow_redirects=True)
+        response.raise_for_status()
+        html = response.text
+        
+        # Parse results from DDG HTML
+        results = []
+        # Extract result blocks
+        result_blocks = re.findall(
+            r'<a[^>]+class="result__a"[^>]*href="([^"]*)"[^>]*>(.*?)</a>.*?'
+            r'(?:<a[^>]+class="result__snippet"[^>]*>(.*?)</a>)?',
+            html, re.DOTALL
+        )  
+        
+        if not result_blocks:
+            # Try alternate pattern
+            links = re.findall(r'<a[^>]+rel="nofollow"[^>]+class="result__a"[^>]*href="([^"]*)"[^>]*>(.*?)</a>', html, re.DOTALL)
+            snippets = re.findall(r'class="result__snippet"[^>]*>(.*?)</(?:a|span)>', html, re.DOTALL)
+            
+            for i, (link, title) in enumerate(links):
+                snippet = unescape(re.sub(r'<[^>]+>', '', snippets[i])).strip() if i < len(snippets) else ""
+                clean_title = unescape(re.sub(r'<[^>]+>', '', title)).strip()
+                results.append({
+                    "title": clean_title,
+                    "url": link,
+                    "content": snippet,
+                    "engine": "duckduckgo_html"
+                })
+        else:
+            for link, title, snippet in result_blocks:
+                clean_title = unescape(re.sub(r'<[^>]+>', '', title)).strip()
+                clean_snippet = unescape(re.sub(r'<[^>]+>', '', snippet)).strip() if snippet else ""
+                results.append({
+                    "title": clean_title,
+                    "url": link,
+                    "content": clean_snippet,
+                    "engine": "duckduckgo_html"
+                })
+        
+        if results:
+            print(f"SUCCESS: Found {len(results)} results from host search!")
+            return {"results": results, "query": params["q"]}
+        else:
+            print("Could not parse HTML results. Trying alternate extraction...")
+            
+            # Last resort: extract any gov.in links
+            gov_links = re.findall(r'href="(https?://[^"]*\.gov\.in[^"]*)"', html)
+            nic_links = re.findall(r'href="(https?://[^"]*\.nic\.in[^"]*)"', html)
+            all_links = gov_links + nic_links
+            
+            if all_links:
+                results = [{"title": f"Indian Government Source", "url": link, "content": "", "engine": "duckduckgo_html"} for link in all_links[:10]]
+                print(f"Found {len(results)} .gov.in/.nic.in links!")
+                return {"results": results, "query": params["q"]}
+            
+            # Save raw HTML for debugging
+            with open("debug_ddg_response.html", "w", encoding="utf-8") as f:
+                f.write(html)
+            print("Saved raw HTML to debug_ddg_response.html for inspection.")
+            return None
+            
+    except Exception as e:
+        print(f"Error: {e}")
+        return None
+
+
+def analyze_and_print(data):
+    """Print raw JSON and analyze for Indian sources."""
+    results = data.get("results", [])
+    
+    print(f"\n{'='*60}")
+    print(f"RAW JSON OUTPUT ({len(results)} results)")
+    print(f"{'='*60}")
+    print(json.dumps(results[:5], indent=2, ensure_ascii=False))
+    
+    # Analyze for Indian sources
+    indian_gov = []
+    indian_content = []
+    
+    for r in results:
+        url_str = r.get("url", "")
+        title_str = (r.get("title") or "").lower()
+        content_str = (r.get("content") or "").lower()
+        
+        if any(d in url_str for d in [".gov.in", ".nic.in", "india.gov"]):
+            indian_gov.append(r)
+        elif any(kw in title_str or kw in content_str for kw in 
+                 ["india", "bharat", "digital india", "modi", "aadhaar", "upi"]):
+            indian_content.append(r)
+    
+    print(f"\n{'='*60}")
+    print(f"INDIAN SOURCE ANALYSIS")
+    print(f"{'='*60}")
+    
+    if indian_gov:
+        print(f"\n  Government Sources (.gov.in / .nic.in): {len(indian_gov)}")
+        for s in indian_gov:
+            print(f"    [GOV.IN] {s.get('title')}")
+            print(f"      URL: {s.get('url')}")
+            if s.get("content"):
+                print(f"      Snippet: {s['content'][:150]}...")
+            print()
+    
+    if indian_content:
+        print(f"\n  India-Related Content: {len(indian_content)}")
+        for s in indian_content[:5]:
+            print(f"    [INDIA] {s.get('title')}")
+            print(f"      URL: {s.get('url')}")
+            if s.get("content"):
+                print(f"      Snippet: {s['content'][:150]}...")
+            print()
+    
+    total = len(indian_gov) + len(indian_content)
+    
+    print(f"\n{'='*60}")
+    print(f"WEEK 1 HEARTBEAT RESULT")
+    print(f"{'='*60}")
+    if indian_gov:
+        print(f"  [PASS] {len(indian_gov)} Indian Government source(s) (.gov.in) found!")
+        print(f"  [PASS] Anvesha AI can pull Indian .gov.in sources from the web.")
+        print(f"  [PASS] The 'Sutra of Information' pipeline is VALIDATED.")
+    elif total > 0:
+        print(f"  [PASS] {total} India-related source(s) found!")
+        print(f"  [PASS] Pipeline works. .gov.in sources will surface once")
+        print(f"         local SearxNG (with default_region: in-en) is online.")
+    else:
+        print(f"  [PARTIAL] Search pipeline works but no .gov.in in top results.")
+    
+    return total > 0
+
+
+if __name__ == "__main__":
+    print()
+    print("  ANVESHA AI - Week 1 Heartbeat Test")
+    print("  Sovereign Indian Search Engine")
+    print()
+    
+    # Try local SearxNG first
+    data = test_local_searxng()
+    
+    # Fallback to direct host search
+    if not data:
+        data = test_host_search()
+    
+    if data:
+        success = analyze_and_print(data)
+        sys.exit(0)
+    else:
+        print("\nAll search methods failed.")
+        sys.exit(1)

docker-compose.prod.yml

@@ -0,0 +1,63 @@
+# Anvesha AI — Production Docker Compose
+# Usage: docker compose -f docker-compose.prod.yml up --build -d
+
+services:
+  # ── SearxNG Search Engine ────────────────────────────────────
+  searxng:
+    container_name: anvesha-searxng
+    image: searxng/searxng:latest
+    ports:
+      - "8080:8080"
+    volumes:
+      - ./searxng:/etc/searxng
+    environment:
+      - SEARXNG_BASE_URL=http://localhost:8080/
+      - SEARXNG_SECRET_KEY=${SEARXNG_SECRET_KEY:-anvesha_prod_secret}
+    restart: unless-stopped
+    networks:
+      - anvesha-net
+    healthcheck:
+      test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:8080/"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+  # ── FastAPI Backend ──────────────────────────────────────────
+  backend:
+    container_name: anvesha-backend
+    build:
+      context: ./backend
+      dockerfile: Dockerfile
+    ports:
+      - "8000:8000"
+    env_file:
+      - ./backend/.env
+    environment:
+      - SEARXNG_BASE_URL=http://searxng:8080
+      - FRONTEND_URL=http://frontend:3000
+    depends_on:
+      searxng:
+        condition: service_healthy
+    restart: unless-stopped
+    networks:
+      - anvesha-net
+
+  # ── Next.js Frontend ─────────────────────────────────────────
+  frontend:
+    container_name: anvesha-frontend
+    build:
+      context: ./frontend
+      dockerfile: Dockerfile
+    ports:
+      - "3000:3000"
+    environment:
+      - BACKEND_URL=http://backend:8000
+    depends_on:
+      - backend
+    restart: unless-stopped
+    networks:
+      - anvesha-net
+
+networks:
+  anvesha-net:
+    driver: bridge

docker-compose.yml

@@ -0,0 +1,12 @@
+services:
+  searxng:
+    container_name: anvesha-searxng
+    image: searxng/searxng:latest
+    ports:
+      - "8080:8080"
+    volumes:
+      - ./searxng:/etc/searxng
+    environment:
+      - SEARXNG_BASE_URL=http://localhost:8080/
+      - SEARXNG_SECRET_KEY=anvesha_secret_key_12345
+    restart: unless-stopped

frontend/.gitignore

@@ -0,0 +1,41 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.*
+.yarn/*
+!.yarn/patches
+!.yarn/plugins
+!.yarn/releases
+!.yarn/versions
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# env files (can opt-in for committing if needed)
+.env*
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts

frontend/Dockerfile

@@ -0,0 +1,42 @@
+# ── Stage 1: Dependencies ──────────────────────────────────────
+FROM node:20-alpine AS deps
+WORKDIR /app
+COPY package.json package-lock.json ./
+RUN npm ci --production=false
+
+# ── Stage 2: Build ─────────────────────────────────────────────
+FROM node:20-alpine AS builder
+WORKDIR /app
+COPY --from=deps /app/node_modules ./node_modules
+COPY . .
+
+# Set build-time env vars
+ENV NEXT_TELEMETRY_DISABLED=1
+ENV BACKEND_URL=http://backend:8000
+
+RUN npm run build
+
+# ── Stage 3: Production ───────────────────────────────────────
+FROM node:20-alpine AS runner
+WORKDIR /app
+
+ENV NODE_ENV=production
+ENV NEXT_TELEMETRY_DISABLED=1
+ENV BACKEND_URL=http://backend:8000
+
+# Create non-root user
+RUN addgroup --system --gid 1001 nodejs && \
+    adduser --system --uid 1001 nextjs
+
+# Copy built assets
+COPY --from=builder /app/public ./public
+COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
+COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
+
+USER nextjs
+EXPOSE 3000
+
+HEALTHCHECK --interval=30s --timeout=10s --retries=3 \
+  CMD wget --no-verbose --tries=1 --spider http://localhost:3000/ || exit 1
+
+CMD ["node", "server.js"]

frontend/README.md

@@ -0,0 +1,36 @@
+This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
+
+## Getting Started
+
+First, run the development server:
+
+```bash
+npm run dev
+# or
+yarn dev
+# or
+pnpm dev
+# or
+bun dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+
+You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
+
+This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
+
+## Learn More
+
+To learn more about Next.js, take a look at the following resources:
+
+- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
+- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
+
+You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
+
+## Deploy on Vercel
+
+The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
+
+Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.

frontend/eslint.config.mjs

@@ -0,0 +1,18 @@
+import { defineConfig, globalIgnores } from "eslint/config";
+import nextVitals from "eslint-config-next/core-web-vitals";
+import nextTs from "eslint-config-next/typescript";
+
+const eslintConfig = defineConfig([
+  ...nextVitals,
+  ...nextTs,
+  // Override default ignores of eslint-config-next.
+  globalIgnores([
+    // Default ignores of eslint-config-next:
+    ".next/**",
+    "out/**",
+    "build/**",
+    "next-env.d.ts",
+  ]),
+]);
+
+export default eslintConfig;

frontend/next.config.ts

@@ -0,0 +1,7 @@
+import type { NextConfig } from "next";
+
+const nextConfig: NextConfig = {
+  /* config options here */
+};
+
+export default nextConfig;

frontend/package.json

@@ -0,0 +1,26 @@
+{
+  "name": "frontend",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "lint": "eslint"
+  },
+  "dependencies": {
+    "next": "16.1.6",
+    "react": "19.2.3",
+    "react-dom": "19.2.3"
+  },
+  "devDependencies": {
+    "@tailwindcss/postcss": "^4",
+    "@types/node": "^20",
+    "@types/react": "^19",
+    "@types/react-dom": "^19",
+    "eslint": "^9",
+    "eslint-config-next": "16.1.6",
+    "tailwindcss": "^4",
+    "typescript": "^5"
+  }
+}

frontend/postcss.config.mjs

@@ -0,0 +1,7 @@
+const config = {
+  plugins: {
+    "@tailwindcss/postcss": {},
+  },
+};
+
+export default config;

frontend/src/app/api/search/route.ts

@@ -0,0 +1,40 @@
+import { NextRequest, NextResponse } from "next/server";
+
+const BACKEND_URL = process.env.BACKEND_URL || "http://localhost:8000";
+
+export async function GET(request: NextRequest) {
+  const { searchParams } = new URL(request.url);
+  const q = searchParams.get("q");
+  const region = searchParams.get("region") || "in-en";
+
+  if (!q) {
+    return NextResponse.json(
+      { error: "Query parameter 'q' is required" },
+      { status: 400 }
+    );
+  }
+
+  try {
+    const backendUrl = `${BACKEND_URL}/search?q=${encodeURIComponent(q)}&region=${encodeURIComponent(region)}`;
+    const response = await fetch(backendUrl, {
+      headers: { "Content-Type": "application/json" },
+      signal: AbortSignal.timeout(15000),
+    });
+
+    if (!response.ok) {
+      return NextResponse.json(
+        { error: `Backend returned ${response.status}` },
+        { status: response.status }
+      );
+    }
+
+    const data = await response.json();
+    return NextResponse.json(data);
+  } catch (error) {
+    console.error("Search proxy error:", error);
+    return NextResponse.json(
+      { error: "Failed to reach the backend search service. Is it running?" },
+      { status: 502 }
+    );
+  }
+}

frontend/src/app/api/text-to-voice/route.ts

@@ -0,0 +1,32 @@
+import { NextRequest, NextResponse } from "next/server";
+
+const BACKEND_URL = process.env.BACKEND_URL || "http://localhost:8000";
+
+export async function POST(request: NextRequest) {
+  try {
+    const body = await request.json();
+
+    const response = await fetch(`${BACKEND_URL}/text-to-voice`, {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify(body),
+      signal: AbortSignal.timeout(30000),
+    });
+
+    if (!response.ok) {
+      return NextResponse.json(
+        { error: `Backend returned ${response.status}` },
+        { status: response.status }
+      );
+    }
+
+    const data = await response.json();
+    return NextResponse.json(data);
+  } catch (error) {
+    console.error("Text-to-voice proxy error:", error);
+    return NextResponse.json(
+      { error: "Failed to reach the voice service." },
+      { status: 502 }
+    );
+  }
+}

frontend/src/app/api/voice-to-text/route.ts

@@ -0,0 +1,47 @@
+import { NextRequest, NextResponse } from "next/server";
+
+const BACKEND_URL = process.env.BACKEND_URL || "http://localhost:8000";
+
+export async function POST(request: NextRequest) {
+  try {
+    const formData = await request.formData();
+    const file = formData.get("file") as File | null;
+    const language = formData.get("language") as string || "en-IN";
+
+    if (!file) {
+      return NextResponse.json(
+        { error: "No audio file provided" },
+        { status: 400 }
+      );
+    }
+
+    // Forward as multipart to backend
+    const backendForm = new FormData();
+    backendForm.append("file", file);
+
+    const response = await fetch(
+      `${BACKEND_URL}/voice-to-text?language=${encodeURIComponent(language)}`,
+      {
+        method: "POST",
+        body: backendForm,
+        signal: AbortSignal.timeout(30000),
+      }
+    );
+
+    if (!response.ok) {
+      return NextResponse.json(
+        { error: `Backend returned ${response.status}` },
+        { status: response.status }
+      );
+    }
+
+    const data = await response.json();
+    return NextResponse.json(data);
+  } catch (error) {
+    console.error("Voice-to-text proxy error:", error);
+    return NextResponse.json(
+      { error: "Failed to reach the voice service." },
+      { status: 502 }
+    );
+  }
+}

frontend/src/app/globals.css

@@ -0,0 +1,58 @@
+@import "tailwindcss";
+
+@theme inline {
+  --color-primary: #D4AF37;
+  --color-charcoal: #36454F;
+  --color-background-light: #f8f7f6;
+  --color-background-dark: #201d12;
+  --font-display: 'Inter', sans-serif;
+}
+
+:root {
+  --background: #f8f7f6;
+  --foreground: #36454F;
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --background: #201d12;
+    --foreground: #f1f5f9;
+  }
+}
+
+body {
+  background: var(--background);
+  color: var(--foreground);
+  font-family: 'Inter', sans-serif;
+}
+
+/* Sutra Citation line gradient */
+.sutra-line {
+  height: 1px;
+  background: linear-gradient(90deg, #D4AF37 0%, rgba(212, 175, 55, 0) 100%);
+}
+
+/* Material Symbols config */
+.material-symbols-outlined {
+  font-variation-settings: 'FILL' 0, 'wght' 400, 'GRAD' 0, 'opsz' 24;
+}
+
+/* Smooth scrolling */
+html {
+  scroll-behavior: smooth;
+}
+
+/* Custom scrollbar */
+::-webkit-scrollbar {
+  width: 6px;
+}
+::-webkit-scrollbar-track {
+  background: transparent;
+}
+::-webkit-scrollbar-thumb {
+  background: rgba(212, 175, 55, 0.3);
+  border-radius: 3px;
+}
+::-webkit-scrollbar-thumb:hover {
+  background: rgba(212, 175, 55, 0.5);
+}

frontend/src/app/layout.tsx

@@ -0,0 +1,36 @@
+import type { Metadata } from "next";
+import { Inter } from "next/font/google";
+import "./globals.css";
+
+const inter = Inter({
+  variable: "--font-inter",
+  subsets: ["latin"],
+  weight: ["300", "400", "500", "600", "700", "800", "900"],
+});
+
+export const metadata: Metadata = {
+  title: "Anvesha AI | The Sutra of Information",
+  description:
+    "Experience sovereign Indian LLMs designed for professional insight, deep reasoning, and cultural precision. Priority access to .gov.in sources and verified citations.",
+  keywords: ["Anvesha AI", "Indian search engine", "sovereign LLM", "gov.in citations", "Indian intelligence"],
+};
+
+export default function RootLayout({
+  children,
+}: Readonly<{
+  children: React.ReactNode;
+}>) {
+  return (
+    <html lang="en">
+      <head>
+        <link
+          href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:wght,FILL@100..700,0..1&display=swap"
+          rel="stylesheet"
+        />
+      </head>
+      <body className={`${inter.variable} antialiased font-[family-name:var(--font-inter)]`}>
+        {children}
+      </body>
+    </html>
+  );
+}

frontend/src/app/page.tsx

@@ -0,0 +1,21 @@
+import Header from "@/components/Header";
+import HeroSection from "@/components/HeroSection";
+import PhilosophySection from "@/components/PhilosophySection";
+import FeaturesSection from "@/components/FeaturesSection";
+import CTASection from "@/components/CTASection";
+import Footer from "@/components/Footer";
+
+export default function Home() {
+  return (
+    <div className="relative flex min-h-screen flex-col overflow-x-hidden bg-background-light text-charcoal">
+      <Header />
+      <main className="flex-1">
+        <HeroSection />
+        <PhilosophySection />
+        <FeaturesSection />
+        <CTASection />
+      </main>
+      <Footer />
+    </div>
+  );
+}

frontend/src/app/search/page.tsx

@@ -0,0 +1,156 @@
+"use client";
+
+import { useState, useCallback } from "react";
+import SearchSidebar from "@/components/SearchSidebar";
+import SearchBar from "@/components/SearchBar";
+import SutraCard from "@/components/SutraCard";
+import SuggestionPills from "@/components/SuggestionPills";
+
+interface SearchResult {
+  title: string;
+  content: string;
+  url: string;
+}
+
+interface SearchResponse {
+  results?: SearchResult[];
+  error?: string;
+}
+
+export default function SearchPage() {
+  const [results, setResults] = useState<SearchResult[]>([]);
+  const [isLoading, setIsLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+  const [hasSearched, setHasSearched] = useState(false);
+  const [resultCount, setResultCount] = useState(0);
+
+  const handleSearch = useCallback(async (query: string) => {
+    setIsLoading(true);
+    setError(null);
+    setHasSearched(true);
+
+    try {
+      const res = await fetch(`/api/search?q=${encodeURIComponent(query)}`);
+      const data: SearchResponse = await res.json();
+
+      if (data.error) {
+        setError(data.error);
+        setResults([]);
+        setResultCount(0);
+      } else {
+        const searchResults = data.results || [];
+        setResults(searchResults);
+        setResultCount(searchResults.length);
+      }
+    } catch (err) {
+      setError("Failed to connect to the search service. Please try again.");
+      setResults([]);
+      setResultCount(0);
+      console.error("Search error:", err);
+    } finally {
+      setIsLoading(false);
+    }
+  }, []);
+
+  const govInCount = results.filter((r) => r.url?.includes(".gov.in")).length;
+
+  return (
+    <div className="flex h-screen overflow-hidden bg-background-light text-charcoal">
+      <SearchSidebar />
+
+      <main className="flex-1 flex flex-col min-w-0 relative overflow-y-auto">
+        {/* Search Header */}
+        <header className="sticky top-0 z-10 p-6 md:px-12 flex flex-col items-center bg-background-light/80 backdrop-blur-md">
+          <SearchBar onSearch={handleSearch} isLoading={isLoading} />
+        </header>
+
+        {/* Results Section */}
+        <section className="max-w-4xl mx-auto w-full p-6 md:p-12 space-y-8">
+          {hasSearched && !isLoading && !error && (
+            <div className="flex items-center justify-between mb-2">
+              <h2 className="text-sm font-semibold uppercase tracking-widest text-primary/70">
+                Top Insights
+              </h2>
+              <span className="text-xs text-charcoal/40">
+                Found {resultCount} relevant citation{resultCount !== 1 ? "s" : ""}
+                {govInCount > 0 && (
+                  <span className="text-primary ml-1">
+                    ({govInCount} .gov.in)
+                  </span>
+                )}
+              </span>
+            </div>
+          )}
+
+          {/* Loading State */}
+          {isLoading && (
+            <div className="flex flex-col items-center gap-6 py-20">
+              <div className="h-12 w-12 rounded-full border-4 border-primary/20 border-t-primary animate-spin" />
+              <p className="text-charcoal/50 text-sm font-medium">
+                Searching the sutras...
+              </p>
+            </div>
+          )}
+
+          {/* Error State */}
+          {error && (
+            <div className="bg-red-50 border border-red-200 text-red-700 rounded-2xl p-8 text-center">
+              <span className="material-symbols-outlined text-3xl mb-2 block">error</span>
+              <p className="font-medium">{error}</p>
+              <p className="text-sm mt-2 text-red-500">
+                Please ensure Docker and the backend are running.
+              </p>
+            </div>
+          )}
+
+          {/* Empty State */}
+          {!isLoading && !error && !hasSearched && (
+            <div className="flex flex-col items-center gap-6 py-20 text-center">
+              <div className="h-20 w-20 rounded-full bg-primary/10 flex items-center justify-center">
+                <span className="material-symbols-outlined text-4xl text-primary">
+                  auto_awesome
+                </span>
+              </div>
+              <div>
+                <h3 className="text-2xl font-bold text-charcoal mb-2">
+                  Begin your inquiry
+                </h3>
+                <p className="text-charcoal/50 max-w-md">
+                  Ask any question to receive sovereign intelligence with
+                  verified .gov.in citations and deep reasoning.
+                </p>
+              </div>
+            </div>
+          )}
+
+          {/* No Results */}
+          {!isLoading && !error && hasSearched && results.length === 0 && (
+            <div className="flex flex-col items-center gap-4 py-16 text-center">
+              <span className="material-symbols-outlined text-5xl text-charcoal/20">
+                search_off
+              </span>
+              <p className="text-charcoal/50">No results found. Try a different query.</p>
+            </div>
+          )}
+
+          {/* Results */}
+          {!isLoading &&
+            results.map((result, index) => (
+              <SutraCard
+                key={`${result.url}-${index}`}
+                title={result.title}
+                content={result.content}
+                url={result.url}
+                citationIndex={index + 1}
+              />
+            ))}
+        </section>
+
+        {/* Suggestion Pills */}
+        {!isLoading && (
+          <SuggestionPills onSuggestionClick={handleSearch} />
+        )}
+      </main>
+    </div>
+  );
+}

frontend/src/components/CTASection.tsx

@@ -0,0 +1,26 @@
+import Link from "next/link";
+
+export default function CTASection() {
+  return (
+    <section className="px-6 py-20 lg:px-12">
+      <div className="mx-auto max-w-5xl overflow-hidden rounded-3xl bg-charcoal p-12 lg:p-20 text-center relative">
+        <div className="absolute inset-0 bg-gradient-to-br from-primary/20 to-transparent pointer-events-none" />
+        <div className="relative z-10 flex flex-col items-center gap-8">
+          <h2 className="text-3xl font-black text-white md:text-5xl">
+            Ready to unlock sovereign intelligence?
+          </h2>
+          <p className="max-w-2xl text-lg text-slate-300">
+            Join the leading organizations leveraging India&apos;s most advanced
+            reasoning engine for a smarter, more secure future.
+          </p>
+          <Link
+            href="/search"
+            className="rounded-lg bg-primary px-10 py-4 text-lg font-bold text-background-dark transition-all hover:scale-105 active:scale-95"
+          >
+            Explore Now
+          </Link>
+        </div>
+      </div>
+    </section>
+  );
+}

frontend/src/components/FeaturesSection.tsx

@@ -0,0 +1,55 @@
+const features = [
+  {
+    icon: "shield_person",
+    title: "Sovereign Intelligence",
+    description:
+      "Built on Sarvam 105B for high-performance localized reasoning that respects data sovereignty and cultural context.",
+  },
+  {
+    icon: "verified",
+    title: "Citations First",
+    description:
+      "Priority access to .gov.in sources and primary legal documents for verified, trustworthy, and hallucination-free information.",
+  },
+  {
+    icon: "psychology_alt",
+    title: "Multimodal Freedom",
+    description:
+      "Seamlessly interact through Saaras Voice and Sarvam Vision, enabling natural language communication across Indian dialects.",
+  },
+];
+
+export default function FeaturesSection() {
+  return (
+    <section id="features" className="px-6 py-24 lg:px-12">
+      <div className="mx-auto max-w-7xl">
+        <div className="grid gap-8 md:grid-cols-3">
+          {features.map((feature) => (
+            <div
+              key={feature.title}
+              className="group relative flex flex-col gap-6 rounded-2xl border border-primary/10 bg-white p-8 transition-all hover:-translate-y-2 hover:shadow-xl"
+            >
+              <div className="flex h-14 w-14 items-center justify-center rounded-xl bg-primary text-background-dark">
+                <span className="material-symbols-outlined text-3xl">
+                  {feature.icon}
+                </span>
+              </div>
+              <div className="flex flex-col gap-3">
+                <h4 className="text-xl font-bold text-charcoal">
+                  {feature.title}
+                </h4>
+                <p className="text-charcoal/70">{feature.description}</p>
+              </div>
+              <div className="mt-auto pt-4 text-primary font-bold text-sm inline-flex items-center gap-2 cursor-pointer">
+                Learn more{" "}
+                <span className="material-symbols-outlined text-sm">
+                  arrow_forward
+                </span>
+              </div>
+            </div>
+          ))}
+        </div>
+      </div>
+    </section>
+  );
+}

frontend/src/components/Footer.tsx

@@ -0,0 +1,35 @@
+export default function Footer() {
+  return (
+    <footer className="border-t border-primary/10 bg-background-light px-6 py-12 lg:px-12">
+      <div className="mx-auto max-w-7xl">
+        <div className="flex flex-col items-center justify-between gap-8 md:flex-row">
+          <div className="flex items-center gap-3">
+            <div className="flex h-8 w-8 items-center justify-center rounded-full bg-primary">
+              <span className="text-sm font-black text-background-dark">A</span>
+            </div>
+            <span className="text-lg font-bold tracking-tight text-charcoal">
+              Anvesha AI
+            </span>
+          </div>
+          <div className="flex flex-wrap justify-center gap-8 text-sm font-medium text-charcoal/60">
+            <a className="hover:text-primary transition-colors" href="#">
+              Privacy Policy
+            </a>
+            <a className="hover:text-primary transition-colors" href="#">
+              Terms of Service
+            </a>
+            <a className="hover:text-primary transition-colors" href="#">
+              Documentation
+            </a>
+            <a className="hover:text-primary transition-colors" href="#">
+              Contact
+            </a>
+          </div>
+        </div>
+        <div className="mt-12 text-center text-sm text-charcoal/40">
+          © 2024 Anvesha AI. Sovereign intelligence for a new era.
+        </div>
+      </div>
+    </footer>
+  );
+}

frontend/src/components/Header.tsx

@@ -0,0 +1,45 @@
+import Link from "next/link";
+
+export default function Header() {
+  return (
+    <header className="sticky top-0 z-50 w-full border-b border-primary/10 bg-background-light/80 backdrop-blur-md">
+      <div className="mx-auto flex max-w-7xl items-center justify-between px-6 py-4 lg:px-12">
+        <Link href="/" className="flex items-center gap-3">
+          <div className="flex h-10 w-10 items-center justify-center rounded-full bg-primary">
+            <span className="text-xl font-black text-background-dark">A</span>
+          </div>
+          <span className="text-xl font-bold tracking-tight text-charcoal">
+            Anvesha AI
+          </span>
+        </Link>
+
+        <nav className="hidden md:flex items-center gap-8">
+          <a className="text-sm font-medium hover:text-primary transition-colors" href="#philosophy">
+            Philosophy
+          </a>
+          <a className="text-sm font-medium hover:text-primary transition-colors" href="#features">
+            Intelligence
+          </a>
+          <a className="text-sm font-medium hover:text-primary transition-colors" href="#features">
+            Citations
+          </a>
+          <a className="text-sm font-medium hover:text-primary transition-colors" href="#features">
+            Multimodal
+          </a>
+        </nav>
+
+        <div className="flex items-center gap-4">
+          <Link
+            href="/search"
+            className="hidden sm:flex items-center justify-center rounded-lg bg-primary px-6 py-2.5 text-sm font-bold text-background-dark transition-all hover:brightness-110 active:scale-95"
+          >
+            Explore Now
+          </Link>
+          <button className="md:hidden p-2 text-charcoal" aria-label="Menu">
+            <span className="material-symbols-outlined">menu</span>
+          </button>
+        </div>
+      </div>
+    </header>
+  );
+}

frontend/src/components/HeroSection.tsx

@@ -0,0 +1,46 @@
+import Link from "next/link";
+
+export default function HeroSection() {
+  return (
+    <section className="relative overflow-hidden px-6 py-20 lg:px-12 lg:py-32">
+      <div className="mx-auto max-w-7xl">
+        <div className="grid items-center gap-12 lg:grid-cols-2">
+          <div className="flex flex-col gap-8">
+            <div className="inline-flex w-fit items-center rounded-full bg-primary/10 px-4 py-1 text-xs font-bold uppercase tracking-widest text-primary">
+              Sovereign Indian LLM
+            </div>
+            <h1 className="text-5xl font-black leading-[1.1] tracking-tight text-charcoal md:text-6xl lg:text-7xl">
+              The Sutra of{" "}
+              <span className="text-primary">Information</span>
+            </h1>
+            <p className="max-w-xl text-lg leading-relaxed text-charcoal/80 md:text-xl">
+              Experience sovereign Indian LLMs designed for professional
+              insight, deep reasoning, and cultural precision.
+            </p>
+            <div className="flex flex-col gap-4 sm:flex-row">
+              <Link
+                href="/search"
+                className="flex items-center justify-center rounded-lg bg-primary px-8 py-4 text-base font-bold text-background-dark transition-all hover:shadow-lg hover:shadow-primary/20 active:scale-95"
+              >
+                Explore Now
+              </Link>
+              <button className="flex items-center justify-center rounded-lg border-2 border-charcoal/10 bg-transparent px-8 py-4 text-base font-bold text-charcoal hover:bg-charcoal/5 transition-all">
+                Watch Demo
+              </button>
+            </div>
+          </div>
+
+          <div className="relative aspect-square lg:aspect-video rounded-2xl overflow-hidden shadow-2xl border border-primary/20">
+            <div className="absolute inset-0 bg-gradient-to-tr from-primary/20 to-transparent mix-blend-overlay z-10" />
+            {/* eslint-disable-next-line @next/next/no-img-element */}
+            <img
+              alt="Abstract geometric patterns representing neural networks and sovereign Indian AI"
+              className="h-full w-full object-cover"
+              src="https://lh3.googleusercontent.com/aida-public/AB6AXuA_6OvMz2fD13HUs1okW8JEeIMt8E-GMbTNmvfYbMco_7Zc07J3UvDNI5_KlQ23hvpim5SnIP_KxBsssF9lKdBIG91e-IldHIU_XSXHvD4_1BacJ97hkgXIU-8h0laSeE4rmIzT60GmuOhxfwoplZWcJ5FHqM1yp0rc-o1j7Ha8lkC8fYG_rUTJH2hsByJpRLwWXcL3gRAVRr9azRRgpLJp6C6t0XyTyq4ajH6CoPWhu6jR0DY8M28VgZuWNQemnx-Tpn7F0kBaNVGp"
+            />
+          </div>
+        </div>
+      </div>
+    </section>
+  );
+}

frontend/src/components/PhilosophySection.tsx

@@ -0,0 +1,20 @@
+export default function PhilosophySection() {
+  return (
+    <section id="philosophy" className="bg-white/50 py-24">
+      <div className="mx-auto max-w-4xl px-6 text-center lg:px-12">
+        <h2 className="mb-6 text-sm font-bold uppercase tracking-[0.3em] text-primary">
+          Philosophy
+        </h2>
+        <h3 className="mb-8 text-4xl font-black text-charcoal md:text-5xl">
+          Prajna (Insight)
+        </h3>
+        <p className="text-xl leading-relaxed text-charcoal/70">
+          Prajna is our core philosophy of context-driven deep reasoning.
+          Powered by sovereign Indian LLMs, we provide unparalleled accuracy
+          and local relevance that understands the nuanced tapestry of Indian
+          information ecosystems.
+        </p>
+      </div>
+    </section>
+  );
+}

frontend/src/components/SearchBar.tsx

@@ -0,0 +1,151 @@
+"use client";
+
+import { useState, useRef, FormEvent, KeyboardEvent } from "react";
+
+interface SearchBarProps {
+  onSearch: (query: string) => void;
+  isLoading?: boolean;
+  initialQuery?: string;
+}
+
+export default function SearchBar({ onSearch, isLoading, initialQuery = "" }: SearchBarProps) {
+  const [query, setQuery] = useState(initialQuery);
+  const [isRecording, setIsRecording] = useState(false);
+  const [isTranscribing, setIsTranscribing] = useState(false);
+  const mediaRecorderRef = useRef<MediaRecorder | null>(null);
+  const chunksRef = useRef<Blob[]>([]);
+
+  const handleSubmit = (e?: FormEvent) => {
+    e?.preventDefault();
+    const trimmed = query.trim();
+    if (trimmed) {
+      onSearch(trimmed);
+    }
+  };
+
+  const handleKeyDown = (e: KeyboardEvent<HTMLInputElement>) => {
+    if (e.key === "Enter") {
+      handleSubmit();
+    }
+  };
+
+  const startRecording = async () => {
+    try {
+      const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
+      const mediaRecorder = new MediaRecorder(stream, {
+        mimeType: MediaRecorder.isTypeSupported("audio/webm;codecs=opus")
+          ? "audio/webm;codecs=opus"
+          : "audio/webm",
+      });
+
+      chunksRef.current = [];
+      mediaRecorderRef.current = mediaRecorder;
+
+      mediaRecorder.ondataavailable = (e) => {
+        if (e.data.size > 0) {
+          chunksRef.current.push(e.data);
+        }
+      };
+
+      mediaRecorder.onstop = async () => {
+        // Stop all tracks
+        stream.getTracks().forEach((track) => track.stop());
+
+        const audioBlob = new Blob(chunksRef.current, { type: "audio/webm" });
+        if (audioBlob.size === 0) return;
+
+        setIsTranscribing(true);
+        try {
+          const formData = new FormData();
+          formData.append("file", audioBlob, "recording.webm");
+          formData.append("language", "en-IN");
+
+          const res = await fetch("/api/voice-to-text", {
+            method: "POST",
+            body: formData,
+          });
+          const data = await res.json();
+
+          if (data.text && !data.text.startsWith("[Voice recognition error")) {
+            setQuery(data.text);
+            // Auto-trigger search
+            onSearch(data.text);
+          }
+        } catch (err) {
+          console.error("Voice transcription error:", err);
+        } finally {
+          setIsTranscribing(false);
+        }
+      };
+
+      mediaRecorder.start();
+      setIsRecording(true);
+    } catch (err) {
+      console.error("Microphone access denied:", err);
+    }
+  };
+
+  const stopRecording = () => {
+    if (mediaRecorderRef.current && mediaRecorderRef.current.state === "recording") {
+      mediaRecorderRef.current.stop();
+      setIsRecording(false);
+    }
+  };
+
+  const toggleRecording = () => {
+    if (isRecording) {
+      stopRecording();
+    } else {
+      startRecording();
+    }
+  };
+
+  return (
+    <div className="w-full max-w-3xl relative">
+      <div className="absolute inset-y-0 left-4 flex items-center pointer-events-none text-primary">
+        <span className="material-symbols-outlined">search</span>
+      </div>
+      <input
+        id="search-input"
+        type="text"
+        value={query}
+        onChange={(e) => setQuery(e.target.value)}
+        onKeyDown={handleKeyDown}
+        className="w-full pl-12 pr-28 py-4 bg-white border-none rounded-2xl shadow-xl shadow-primary/5 focus:ring-2 focus:ring-primary/50 text-charcoal placeholder-charcoal/40"
+        placeholder={
+          isTranscribing
+            ? "Transcribing your voice..."
+            : isRecording
+            ? "Listening... click mic to stop"
+            : "Search the wisdom of the sutras..."
+        }
+        disabled={isLoading || isTranscribing}
+      />
+      <div className="absolute inset-y-0 right-4 flex items-center gap-2">
+        <button
+          onClick={toggleRecording}
+          disabled={isLoading || isTranscribing}
+          className={`p-2 transition-all rounded-full ${
+            isRecording
+              ? "text-red-500 bg-red-50 animate-pulse"
+              : isTranscribing
+              ? "text-primary/50 cursor-wait"
+              : "text-charcoal/40 hover:text-primary hover:bg-primary/5"
+          }`}
+          aria-label={isRecording ? "Stop recording" : "Voice search"}
+          title={isRecording ? "Stop recording" : "Voice search"}
+        >
+          <span className="material-symbols-outlined">
+            {isRecording ? "stop_circle" : isTranscribing ? "hourglass_top" : "mic"}
+          </span>
+        </button>
+        <button
+          className="p-2 text-charcoal/40 hover:text-primary transition-colors"
+          aria-label="Upload file"
+        >
+          <span className="material-symbols-outlined">upload_file</span>
+        </button>
+      </div>
+    </div>
+  );
+}

frontend/src/components/SearchSidebar.tsx

@@ -0,0 +1,58 @@
+import Link from "next/link";
+
+export default function SearchSidebar() {
+  return (
+    <aside className="w-16 lg:w-64 flex-shrink-0 border-r border-primary/10 bg-white flex flex-col h-full">
+      <div className="p-4 lg:p-6 flex items-center gap-3">
+        <Link href="/" className="flex items-center gap-3">
+          <div className="h-10 w-10 rounded-full bg-primary flex items-center justify-center shrink-0">
+            <span className="text-xl font-black text-background-dark">A</span>
+          </div>
+          <div className="hidden lg:block overflow-hidden">
+            <h1 className="text-charcoal font-bold text-lg leading-tight">
+              Anvesha AI
+            </h1>
+            <p className="text-primary text-xs font-medium uppercase tracking-widest">
+              Sovereign
+            </p>
+          </div>
+        </Link>
+      </div>
+
+      <nav className="flex-1 px-2 lg:px-4 space-y-2 mt-4">
+        <a
+          className="flex items-center gap-4 px-3 py-3 rounded-xl bg-primary/10 text-primary"
+          href="#"
+        >
+          <span className="material-symbols-outlined">history</span>
+          <span className="hidden lg:block font-medium">Search History</span>
+        </a>
+        <a
+          className="flex items-center gap-4 px-3 py-3 rounded-xl text-charcoal/60 hover:bg-charcoal/5 transition-colors"
+          href="#"
+        >
+          <span className="material-symbols-outlined">bookmarks</span>
+          <span className="hidden lg:block font-medium">Saved Sutras</span>
+        </a>
+        <a
+          className="flex items-center gap-4 px-3 py-3 rounded-xl text-charcoal/60 hover:bg-charcoal/5 transition-colors"
+          href="#"
+        >
+          <span className="material-symbols-outlined">description</span>
+          <span className="hidden lg:block font-medium">Document Intelligence</span>
+        </a>
+      </nav>
+
+      <div className="p-4 border-t border-primary/10">
+        <div className="flex items-center gap-3 p-2">
+          <div className="h-8 w-8 rounded-full bg-charcoal/10 flex items-center justify-center">
+            <span className="material-symbols-outlined text-charcoal/50 text-sm">person</span>
+          </div>
+          <div className="hidden lg:block">
+            <p className="text-sm font-semibold text-charcoal">Dharma Practitioner</p>
+          </div>
+        </div>
+      </div>
+    </aside>
+  );
+}

frontend/src/components/SuggestionPills.tsx

@@ -0,0 +1,30 @@
+"use client";
+
+interface SuggestionPillsProps {
+  onSuggestionClick: (query: string) => void;
+}
+
+const suggestions = [
+  "Interpret Ahimsa in Policy",
+  "Arthashastra Tax Code",
+  "Justice Systems Comparison",
+  "Ethics of Intelligence",
+  "Digital India Initiatives",
+  "RTI Act Overview",
+];
+
+export default function SuggestionPills({ onSuggestionClick }: SuggestionPillsProps) {
+  return (
+    <div className="max-w-4xl mx-auto w-full px-6 pb-12 flex flex-wrap gap-2 justify-center">
+      {suggestions.map((suggestion) => (
+        <button
+          key={suggestion}
+          onClick={() => onSuggestionClick(suggestion)}
+          className="px-4 py-2 rounded-full border border-primary/20 text-xs font-medium text-charcoal/50 hover:bg-primary/10 hover:text-primary transition-all"
+        >
+          {suggestion}
+        </button>
+      ))}
+    </div>
+  );
+}

frontend/src/components/SutraCard.tsx

@@ -0,0 +1,149 @@
+"use client";
+
+import { useState, useRef } from "react";
+
+interface SutraCardProps {
+  title: string;
+  content: string;
+  url: string;
+  citationIndex: number;
+}
+
+export default function SutraCard({
+  title,
+  content,
+  url,
+  citationIndex,
+}: SutraCardProps) {
+  const [isPlaying, setIsPlaying] = useState(false);
+  const [isLoadingAudio, setIsLoadingAudio] = useState(false);
+  const audioRef = useRef<HTMLAudioElement | null>(null);
+
+  const isGovIn = url.includes(".gov.in");
+  const domain = (() => {
+    try {
+      return new URL(url).hostname;
+    } catch {
+      return url;
+    }
+  })();
+
+  const handleListen = async () => {
+    // If already playing, stop
+    if (isPlaying && audioRef.current) {
+      audioRef.current.pause();
+      audioRef.current.currentTime = 0;
+      setIsPlaying(false);
+      return;
+    }
+
+    setIsLoadingAudio(true);
+    try {
+      const textToRead = `${title}. ${content}`;
+      const res = await fetch("/api/text-to-voice", {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify({
+          text: textToRead,
+          language: "en-IN",
+          speaker: "meera",
+        }),
+      });
+
+      const data = await res.json();
+
+      if (data.audio_base64) {
+        // Create audio from base64
+        const audioSrc = `data:audio/wav;base64,${data.audio_base64}`;
+        const audio = new Audio(audioSrc);
+        audioRef.current = audio;
+
+        audio.onended = () => setIsPlaying(false);
+        audio.onerror = () => {
+          setIsPlaying(false);
+          console.error("Audio playback error");
+        };
+
+        await audio.play();
+        setIsPlaying(true);
+      }
+    } catch (err) {
+      console.error("TTS error:", err);
+    } finally {
+      setIsLoadingAudio(false);
+    }
+  };
+
+  return (
+    <article className="group relative bg-white p-8 rounded-2xl border border-transparent hover:border-primary/20 transition-all shadow-sm hover:shadow-xl">
+      <div className="flex flex-col gap-4">
+        <h3 className="text-2xl font-bold text-charcoal leading-tight">
+          {title}
+        </h3>
+        <p className="text-charcoal/60 line-clamp-2 leading-relaxed">
+          {content}
+        </p>
+
+        <div className="flex items-center gap-4 mt-2">
+          <div className="sutra-line flex-1" />
+          <div
+            className={`flex items-center gap-2 px-3 py-1 rounded-full border ${
+              isGovIn
+                ? "bg-primary/10 border-primary/20"
+                : "bg-charcoal/5 border-charcoal/10"
+            }`}
+          >
+            <span
+              className={`text-[10px] font-bold uppercase ${
+                isGovIn ? "text-primary" : "text-charcoal/50"
+              }`}
+            >
+              {isGovIn ? "Sutra Citation" : "Source"}
+            </span>
+            <span
+              className={`text-xs font-mono font-bold ${
+                isGovIn ? "text-primary" : "text-charcoal/50"
+              }`}
+            >
+              [{citationIndex}] {domain}
+            </span>
+          </div>
+        </div>
+
+        <div className="flex justify-between items-center pt-4">
+          {/* Listen Button */}
+          <button
+            onClick={handleListen}
+            disabled={isLoadingAudio}
+            className={`flex items-center gap-2 px-4 py-2 rounded-full text-sm font-semibold transition-all ${
+              isPlaying
+                ? "bg-primary text-background-dark"
+                : isLoadingAudio
+                ? "bg-charcoal/5 text-charcoal/30 cursor-wait"
+                : "bg-primary/10 text-primary hover:bg-primary/20"
+            }`}
+            title={isPlaying ? "Stop listening" : "Listen to this Sutra"}
+          >
+            <span className="material-symbols-outlined text-sm">
+              {isPlaying ? "stop" : isLoadingAudio ? "hourglass_top" : "volume_up"}
+            </span>
+            {isPlaying ? "Stop" : isLoadingAudio ? "Loading..." : "Listen"}
+          </button>
+
+          {/* Deep Dive Link */}
+          <a
+            href={url}
+            target="_blank"
+            rel="noopener noreferrer"
+            className="text-primary font-semibold text-sm flex items-center gap-2 opacity-0 group-hover:opacity-100 transition-opacity"
+          >
+            Deep Dive{" "}
+            <span className="material-symbols-outlined text-sm">
+              arrow_forward
+            </span>
+          </a>
+        </div>
+      </div>
+    </article>
+  );
+}

frontend/stitch/anvesha_ai_landing_page/code.html

@@ -0,0 +1,190 @@
+<!DOCTYPE html>
+
+<html lang="en"><head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>Anvesha AI | The Sutra of Information</title>
+<script src="https://cdn.tailwindcss.com?plugins=forms,container-queries"></script>
+<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800;900&amp;display=swap" rel="stylesheet"/>
+<link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:wght,FILL@100..700,0..1&amp;display=swap" rel="stylesheet"/>
+<link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:wght,FILL@100..700,0..1&amp;display=swap" rel="stylesheet"/>
+<script id="tailwind-config">
+        tailwind.config = {
+            darkMode: "class",
+            theme: {
+                extend: {
+                    colors: {
+                        "primary": "#d4af35",
+                        "charcoal": "#36454f",
+                        "background-light": "#f8f7f6",
+                        "background-dark": "#201d12",
+                    },
+                    fontFamily: {
+                        "display": ["Inter", "sans-serif"]
+                    },
+                    borderRadius: {
+                        "DEFAULT": "0.25rem",
+                        "lg": "0.5rem",
+                        "xl": "0.75rem",
+                        "full": "9999px"
+                    },
+                },
+            },
+        }
+    </script>
+<style>
+        body {
+            font-family: 'Inter', sans-serif;
+        }
+        .material-symbols-outlined {
+            font-variation-settings: 'FILL' 0, 'wght' 400, 'GRAD' 0, 'opsz' 24;
+        }
+    </style>
+</head>
+<body class="bg-background-light dark:bg-background-dark text-charcoal dark:text-slate-100 font-display">
+<div class="relative flex min-h-screen flex-col overflow-x-hidden">
+<header class="sticky top-0 z-50 w-full border-b border-primary/10 bg-background-light/80 dark:bg-background-dark/80 backdrop-blur-md">
+<div class="mx-auto flex max-w-7xl items-center justify-between px-6 py-4 lg:px-12">
+<div class="flex items-center gap-3">
+<img alt="Anvesha AI Logo" class="h-10 w-10" data-alt="Anvesha AI stylized logo symbol" src="https://lh3.googleusercontent.com/aida-public/AB6AXuCj_Ov9celq7zkiikEhF4t3euNN9aygAlyXbG8qIC7jF5OKJrrriEp4xV4VjyH8zEu-QSRK6lxZP11SuOw1I6-eDS4_o0_SAR4ZNj2zr-HPvwyVH3gYyymw8-R33DoTYLBRIrBwhNwyghbjwxuoPDHtWYnxGOJ2uAv0-96EEAJORoZ2T2plPaY0rSiGK92G4arfwFsanOJPf-YhbQ0ZGTOz-uf3NYG-SuI24vIPRTcTwhSwnDjFng9snBdy3TW2yV4mY7y4_cVsUMo_"/>
+<span class="text-xl font-bold tracking-tight text-charcoal dark:text-white">Anvesha AI</span>
+</div>
+<nav class="hidden md:flex items-center gap-8">
+<a class="text-sm font-medium hover:text-primary transition-colors" href="#">Philosophy</a>
+<a class="text-sm font-medium hover:text-primary transition-colors" href="#">Intelligence</a>
+<a class="text-sm font-medium hover:text-primary transition-colors" href="#">Citations</a>
+<a class="text-sm font-medium hover:text-primary transition-colors" href="#">Multimodal</a>
+</nav>
+<div class="flex items-center gap-4">
+<button class="hidden sm:flex items-center justify-center rounded-lg bg-primary px-6 py-2.5 text-sm font-bold text-background-dark transition-all hover:brightness-110 active:scale-95">
+                        Explore Now
+                    </button>
+<button class="md:hidden p-2 text-charcoal dark:text-white">
+<span class="material-symbols-outlined">menu</span>
+</button>
+</div>
+</div>
+</header>
+<main class="flex-1">
+<section class="relative overflow-hidden px-6 py-20 lg:px-12 lg:py-32">
+<div class="mx-auto max-w-7xl">
+<div class="grid items-center gap-12 lg:grid-cols-2">
+<div class="flex flex-col gap-8">
+<div class="inline-flex w-fit items-center rounded-full bg-primary/10 px-4 py-1 text-xs font-bold uppercase tracking-widest text-primary">
+                                Sovereign Indian LLM
+                            </div>
+<h1 class="text-5xl font-black leading-[1.1] tracking-tight text-charcoal dark:text-white md:text-6xl lg:text-7xl">
+                                The Sutra of <span class="text-primary">Information</span>
+</h1>
+<p class="max-w-xl text-lg leading-relaxed text-charcoal/80 dark:text-slate-300 md:text-xl">
+                                Experience sovereign Indian LLMs designed for professional insight, deep reasoning, and cultural precision.
+                            </p>
+<div class="flex flex-col gap-4 sm:flex-row">
+<button class="flex items-center justify-center rounded-lg bg-primary px-8 py-4 text-base font-bold text-background-dark transition-all hover:shadow-lg hover:shadow-primary/20 active:scale-95">
+                                    Explore Now
+                                </button>
+<button class="flex items-center justify-center rounded-lg border-2 border-charcoal/10 bg-transparent px-8 py-4 text-base font-bold text-charcoal dark:border-white/10 dark:text-white hover:bg-charcoal/5 dark:hover:bg-white/5 transition-all">
+                                    Watch Demo
+                                </button>
+</div>
+</div>
+<div class="relative aspect-square lg:aspect-video rounded-2xl overflow-hidden shadow-2xl border border-primary/20">
+<div class="absolute inset-0 bg-gradient-to-tr from-primary/20 to-transparent mix-blend-overlay"></div>
+<img alt="Hero Image" class="h-full w-full object-cover" data-alt="Abstract geometric patterns representing neural networks" src="https://lh3.googleusercontent.com/aida-public/AB6AXuA_6OvMz2fD13HUs1okW8JEeIMt8E-GMbTNmvfYbMco_7Zc07J3UvDNI5_KlQ23hvpim5SnIP_KxBsssF9lKdBIG91e-IldHIU_XSXHvD4_1BacJ97hkgXIU-8h0laSeE4rmIzT60GmuOhxfwoplZWcJ5FHqM1yp0rc-o1j7Ha8lkC8fYG_rUTJH2hsByJpRLwWXcL3gRAVRr9azRRgpLJp6C6t0XyTyq4ajH6CoPWhu6jR0DY8M28VgZuWNQemnx-Tpn7F0kBaNVGp"/>
+</div>
+</div>
+</div>
+</section>
+<section class="bg-white/50 dark:bg-white/5 py-24">
+<div class="mx-auto max-w-4xl px-6 text-center lg:px-12">
+<h2 class="mb-6 text-sm font-bold uppercase tracking-[0.3em] text-primary">Philosophy</h2>
+<h3 class="mb-8 text-4xl font-black text-charcoal dark:text-white md:text-5xl">Prajna (Insight)</h3>
+<p class="text-xl leading-relaxed text-charcoal/70 dark:text-slate-300">
+                        Prajna is our core philosophy of context-driven deep reasoning. Powered by sovereign Indian LLMs, we provide unparalleled accuracy and local relevance that understands the nuanced tapestry of Indian information ecosystems.
+                    </p>
+</div>
+</section>
+<section class="px-6 py-24 lg:px-12">
+<div class="mx-auto max-w-7xl">
+<div class="grid gap-8 md:grid-cols-3">
+<div class="group relative flex flex-col gap-6 rounded-2xl border border-primary/10 bg-white p-8 transition-all hover:-translate-y-2 hover:shadow-xl dark:bg-background-dark/50">
+<div class="flex h-14 w-14 items-center justify-center rounded-xl bg-primary text-background-dark">
+<span class="material-symbols-outlined text-3xl">shield_person</span>
+</div>
+<div class="flex flex-col gap-3">
+<h4 class="text-xl font-bold text-charcoal dark:text-white">Sovereign Intelligence</h4>
+<p class="text-charcoal/70 dark:text-slate-400">
+                                    Built on Sarvam 105B for high-performance localized reasoning that respects data sovereignty and cultural context.
+                                </p>
+</div>
+<div class="mt-auto pt-4 text-primary font-bold text-sm inline-flex items-center gap-2 cursor-pointer">
+                                Learn more <span class="material-symbols-outlined text-sm">arrow_forward</span>
+</div>
+</div>
+<div class="group relative flex flex-col gap-6 rounded-2xl border border-primary/10 bg-white p-8 transition-all hover:-translate-y-2 hover:shadow-xl dark:bg-background-dark/50">
+<div class="flex h-14 w-14 items-center justify-center rounded-xl bg-primary text-background-dark">
+<span class="material-symbols-outlined text-3xl">verified</span>
+</div>
+<div class="flex flex-col gap-3">
+<h4 class="text-xl font-bold text-charcoal dark:text-white">Citations First</h4>
+<p class="text-charcoal/70 dark:text-slate-400">
+                                    Priority access to .gov.in sources and primary legal documents for verified, trustworthy, and hallucination-free information.
+                                </p>
+</div>
+<div class="mt-auto pt-4 text-primary font-bold text-sm inline-flex items-center gap-2 cursor-pointer">
+                                Learn more <span class="material-symbols-outlined text-sm">arrow_forward</span>
+</div>
+</div>
+<div class="group relative flex flex-col gap-6 rounded-2xl border border-primary/10 bg-white p-8 transition-all hover:-translate-y-2 hover:shadow-xl dark:bg-background-dark/50">
+<div class="flex h-14 w-14 items-center justify-center rounded-xl bg-primary text-background-dark">
+<span class="material-symbols-outlined text-3xl">psychology_alt</span>
+</div>
+<div class="flex flex-col gap-3">
+<h4 class="text-xl font-bold text-charcoal dark:text-white">Multimodal Freedom</h4>
+<p class="text-charcoal/70 dark:text-slate-400">
+                                    Seamlessly interact through Saaras Voice and Sarvam Vision, enabling natural language communication across Indian dialects.
+                                </p>
+</div>
+<div class="mt-auto pt-4 text-primary font-bold text-sm inline-flex items-center gap-2 cursor-pointer">
+                                Learn more <span class="material-symbols-outlined text-sm">arrow_forward</span>
+</div>
+</div>
+</div>
+</div>
+</section>
+<section class="px-6 py-20 lg:px-12">
+<div class="mx-auto max-w-5xl overflow-hidden rounded-3xl bg-charcoal dark:bg-primary/5 p-12 lg:p-20 text-center relative">
+<div class="absolute inset-0 bg-gradient-to-br from-primary/20 to-transparent pointer-events-none"></div>
+<div class="relative z-10 flex flex-col items-center gap-8">
+<h2 class="text-3xl font-black text-white dark:text-white md:text-5xl">Ready to unlock sovereign intelligence?</h2>
+<p class="max-w-2xl text-lg text-slate-300 dark:text-slate-300">
+                            Join the leading organizations leveraging India's most advanced reasoning engine for a smarter, more secure future.
+                        </p>
+<button class="rounded-lg bg-primary px-10 py-4 text-lg font-bold text-background-dark transition-all hover:scale-105 active:scale-95">
+                            Explore Now
+                        </button>
+</div>
+</div>
+</section>
+</main>
+<footer class="border-t border-primary/10 bg-background-light dark:bg-background-dark px-6 py-12 lg:px-12">
+<div class="mx-auto max-w-7xl">
+<div class="flex flex-col items-center justify-between gap-8 md:flex-row">
+<div class="flex items-center gap-3">
+<img alt="Anvesha AI Footer Logo" class="h-8 w-8" data-alt="Small version of Anvesha AI logo" src="https://lh3.googleusercontent.com/aida-public/AB6AXuDu1QQyodyCn0aOjAn4ET0hlEvp2gFV0kzelT7kpBa4F6xAvsm-6Etr1-qCORPY3LLHJheabz2VPd6IGvjSpDAL4r_kJi09l3gMZTe_VahmNBXHKCALY_Rgpf7pHVBDLzG1KSGhkAxXuzpgwysEygl_Mou6GrHLXfivwIzTE32Uq_DrHLQIvc0aKzBAgarmd9Bo-sDC4OzJVV9QCff7ozOgAkwwvFmvNYERYbZrybl99xX40M7f8qBevJnalO-W0vQtEwctXlTMbuxt"/>
+<span class="text-lg font-bold tracking-tight text-charcoal dark:text-white">Anvesha AI</span>
+</div>
+<div class="flex flex-wrap justify-center gap-8 text-sm font-medium text-charcoal/60 dark:text-slate-400">
+<a class="hover:text-primary" href="#">Privacy Policy</a>
+<a class="hover:text-primary" href="#">Terms of Service</a>
+<a class="hover:text-primary" href="#">Documentation</a>
+<a class="hover:text-primary" href="#">Contact</a>
+</div>
+</div>
+<div class="mt-12 text-center text-sm text-charcoal/40 dark:text-slate-500">
+                    © 2024 Anvesha AI. Sovereign intelligence for a new era.
+                </div>
+</div>
+</footer>
+</div>
+</body></html>

frontend/stitch/anvesha_ai_search_interface/code.html

@@ -0,0 +1,178 @@
+<!DOCTYPE html>
+
+<html class="light" lang="en"><head>
+<meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>Anvesha AI - Sovereign Intelligence</title>
+<script src="https://cdn.tailwindcss.com?plugins=forms,container-queries"></script>
+<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&amp;display=swap" rel="stylesheet"/>
+<link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:wght@100..700,0..1&amp;display=swap" rel="stylesheet"/>
+<link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:wght,FILL@100..700,0..1&amp;display=swap" rel="stylesheet"/>
+<script id="tailwind-config">
+        tailwind.config = {
+            darkMode: "class",
+            theme: {
+                extend: {
+                    colors: {
+                        "primary": "#d4af35",
+                        "background-light": "#f8f7f6",
+                        "background-dark": "#201d12",
+                    },
+                    fontFamily: {
+                        "display": ["Inter", "sans-serif"]
+                    },
+                    borderRadius: {
+                        "DEFAULT": "0.25rem",
+                        "lg": "0.5rem",
+                        "xl": "0.75rem",
+                        "full": "9999px"
+                    },
+                },
+            },
+        }
+    </script>
+<style>
+        body {
+            font-family: 'Inter', sans-serif;
+        }
+        .sutra-line {
+            height: 1px;
+            background: linear-gradient(90deg, #d4af35 0%, rgba(212, 175, 53, 0) 100%);
+        }
+    </style>
+</head>
+<body class="bg-background-light dark:bg-background-dark text-slate-900 dark:text-slate-100 font-display transition-colors duration-300">
+<div class="flex h-screen overflow-hidden">
+<!-- Collapsible Left Sidebar -->
+<aside class="w-20 lg:w-64 flex-shrink-0 border-r border-primary/10 bg-white dark:bg-background-dark/50 flex flex-col h-full">
+<div class="p-6 flex items-center gap-3">
+<div class="h-10 w-10 rounded-full bg-primary flex items-center justify-center overflow-hidden shrink-0">
+<img class="h-full w-full object-cover" data-alt="Anvesha AI logo gold emblem" src="https://lh3.googleusercontent.com/aida-public/AB6AXuAoEBnUZO1_cQCkwH56i2klXr1IROsBdHYHnb8Wb69SrSc4kAiNgl9tdX80SFbbEH62zQVsVr7mTGs2CGJQkA97QT1Tjo9BD1Ms_q0FXbHXFZHVV6Mc4I8F6RcOhEXCo156DZBOYavKVg_XjvpPKIYpUymDlSJeI5HUbvWH-ShRCRcsk-5LUsHcuQF4fnAdNGczT4aAnaUA4DXuQayySgl_-QlcAZE5VEHRYRQvU-gKJlYY3_QpxcReR9wHure2_9V7IIUEf60ZweUW"/>
+</div>
+<div class="hidden lg:block overflow-hidden">
+<h1 class="text-slate-900 dark:text-slate-100 font-bold text-lg leading-tight">Anvesha AI</h1>
+<p class="text-primary text-xs font-medium uppercase tracking-widest">Sovereign</p>
+</div>
+</div>
+<nav class="flex-1 px-4 space-y-2 mt-4">
+<a class="flex items-center gap-4 px-3 py-3 rounded-xl bg-primary/10 text-primary" href="#">
+<span class="material-symbols-outlined">history</span>
+<span class="hidden lg:block font-medium">Search History</span>
+</a>
+<a class="flex items-center gap-4 px-3 py-3 rounded-xl text-slate-600 dark:text-slate-400 hover:bg-slate-100 dark:hover:bg-white/5 transition-colors" href="#">
+<span class="material-symbols-outlined">bookmarks</span>
+<span class="hidden lg:block font-medium">Saved Sutras</span>
+</a>
+<a class="flex items-center gap-4 px-3 py-3 rounded-xl text-slate-600 dark:text-slate-400 hover:bg-slate-100 dark:hover:bg-white/5 transition-colors" href="#">
+<span class="material-symbols-outlined">description</span>
+<span class="hidden lg:block font-medium">Document Intelligence</span>
+</a>
+</nav>
+<div class="p-4 border-t border-primary/10">
+<div class="flex items-center gap-3 p-2">
+<div class="h-8 w-8 rounded-full bg-slate-200 dark:bg-white/10" data-alt="User profile placeholder" style="background-image: url('https://lh3.googleusercontent.com/aida-public/AB6AXuDaF6Rf3fBrFRx4sly7VGKK4WMEpnqdBsA-krFVL-L2uAIglGenuPYkHZVVGHiP1o6iStcyiQurC47ZqeKtIhj9eQoO-D-zwXpAIZwY4rnAe7pFBDhl31z00LsYSFLbq73nicevxvFsbRK4ZZolDaGNNBRVo1GVpndPsUX0r6dHEFwvb-ltETc620oSvmuhg14jNdv7Jce9JNvu98WDfiSIoI83f-yq8Vy-0YGql0txPkKoi3cmpEE6JZCPKC_tPzakG4TXv8Gvx4WO');"></div>
+<div class="hidden lg:block">
+<p class="text-sm font-semibold">Dharma Practitioner</p>
+</div>
+</div>
+</div>
+</aside>
+<!-- Main Content Area -->
+<main class="flex-1 flex flex-col min-w-0 bg-background-light dark:bg-background-dark relative overflow-y-auto">
+<!-- Top Search Header -->
+<header class="sticky top-0 z-10 p-6 md:px-12 flex flex-col items-center bg-background-light/80 dark:bg-background-dark/80 backdrop-blur-md">
+<div class="w-full max-w-3xl relative">
+<div class="absolute inset-y-0 left-4 flex items-center pointer-events-none text-primary">
+<span class="material-symbols-outlined">search</span>
+</div>
+<input class="w-full pl-12 pr-28 py-4 bg-white dark:bg-white/5 border-none rounded-2xl shadow-xl shadow-primary/5 focus:ring-2 focus:ring-primary/50 text-slate-900 dark:text-slate-100 placeholder-slate-400" placeholder="Search the wisdom of the sutras..." type="text"/>
+<div class="absolute inset-y-0 right-4 flex items-center gap-2">
+<button class="p-2 text-slate-400 hover:text-primary transition-colors">
+<span class="material-symbols-outlined">mic</span>
+</button>
+<button class="p-2 text-slate-400 hover:text-primary transition-colors">
+<span class="material-symbols-outlined">upload_file</span>
+</button>
+</div>
+</div>
+</header>
+<!-- Results Section -->
+<section class="max-w-4xl mx-auto w-full p-6 md:p-12 space-y-8">
+<div class="flex items-center justify-between mb-2">
+<h2 class="text-sm font-semibold uppercase tracking-widest text-primary/70">Top Insights</h2>
+<span class="text-xs text-slate-400">Found 12 relevant citations</span>
+</div>
+<!-- Result Card 1 -->
+<article class="group relative bg-white dark:bg-white/5 p-8 rounded-2xl border border-transparent hover:border-primary/20 transition-all shadow-sm hover:shadow-xl">
+<div class="flex flex-col gap-4">
+<h3 class="text-2xl font-bold text-slate-800 dark:text-slate-100 leading-tight">Fundamental Principles of Governance</h3>
+<p class="text-slate-600 dark:text-slate-400 line-clamp-2 leading-relaxed">
+                            A comprehensive analysis of administrative frameworks and ethical leadership as derived from classical texts, focusing on the decentralization of authority.
+                        </p>
+<div class="flex items-center gap-4 mt-2">
+<div class="sutra-line flex-1"></div>
+<div class="flex items-center gap-2 px-3 py-1 bg-primary/10 rounded-full border border-primary/20">
+<span class="text-[10px] font-bold text-primary uppercase">Sutra Citation</span>
+<span class="text-xs font-mono text-primary font-bold">[1] .gov.in</span>
+</div>
+</div>
+<div class="flex justify-end pt-4 opacity-0 group-hover:opacity-100 transition-opacity">
+<button class="text-primary font-semibold text-sm flex items-center gap-2">
+                                Deep Dive <span class="material-symbols-outlined text-sm">arrow_forward</span>
+</button>
+</div>
+</div>
+</article>
+<!-- Result Card 2 -->
+<article class="group relative bg-white dark:bg-white/5 p-8 rounded-2xl border border-transparent hover:border-primary/20 transition-all shadow-sm hover:shadow-xl">
+<div class="flex flex-col gap-4">
+<h3 class="text-2xl font-bold text-slate-800 dark:text-slate-100 leading-tight">Economic Policy and Social Welfare</h3>
+<p class="text-slate-600 dark:text-slate-400 line-clamp-2 leading-relaxed">
+                            Exploring the intersection of fiscal responsibility and social equity through the lens of traditional intelligence, specifically addressing poverty alleviation.
+                        </p>
+<div class="flex items-center gap-4 mt-2">
+<div class="sutra-line flex-1"></div>
+<div class="flex items-center gap-2 px-3 py-1 bg-primary/10 rounded-full border border-primary/20">
+<span class="text-[10px] font-bold text-primary uppercase">Sutra Citation</span>
+<span class="text-xs font-mono text-primary font-bold">[2] .gov.in</span>
+</div>
+</div>
+<div class="flex justify-end pt-4 opacity-0 group-hover:opacity-100 transition-opacity">
+<button class="text-primary font-semibold text-sm flex items-center gap-2">
+                                Deep Dive <span class="material-symbols-outlined text-sm">arrow_forward</span>
+</button>
+</div>
+</div>
+</article>
+<!-- Result Card 3 -->
+<article class="group relative bg-white dark:bg-white/5 p-8 rounded-2xl border border-transparent hover:border-primary/20 transition-all shadow-sm hover:shadow-xl">
+<div class="flex flex-col gap-4">
+<h3 class="text-2xl font-bold text-slate-800 dark:text-slate-100 leading-tight">Digital Sovereignty in the AI Age</h3>
+<p class="text-slate-600 dark:text-slate-400 line-clamp-2 leading-relaxed">
+                            How traditional concepts of 'Swaraj' apply to data protection and algorithmic governance in a rapidly globalizing technology landscape.
+                        </p>
+<div class="flex items-center gap-4 mt-2">
+<div class="sutra-line flex-1"></div>
+<div class="flex items-center gap-2 px-3 py-1 bg-primary/10 rounded-full border border-primary/20">
+<span class="text-[10px] font-bold text-primary uppercase">Sutra Citation</span>
+<span class="text-xs font-mono text-primary font-bold">[3] .gov.in</span>
+</div>
+</div>
+<div class="flex justify-end pt-4 opacity-0 group-hover:opacity-100 transition-opacity">
+<button class="text-primary font-semibold text-sm flex items-center gap-2">
+                                Deep Dive <span class="material-symbols-outlined text-sm">arrow_forward</span>
+</button>
+</div>
+</div>
+</article>
+</section>
+<!-- Quick Suggestion Pills -->
+<div class="max-w-4xl mx-auto w-full px-6 pb-12 flex flex-wrap gap-2 justify-center">
+<button class="px-4 py-2 rounded-full border border-primary/20 text-xs font-medium text-slate-500 hover:bg-primary/10 hover:text-primary transition-all">Interpret Ahimsa in Policy</button>
+<button class="px-4 py-2 rounded-full border border-primary/20 text-xs font-medium text-slate-500 hover:bg-primary/10 hover:text-primary transition-all">Arthashastra Tax Code</button>
+<button class="px-4 py-2 rounded-full border border-primary/20 text-xs font-medium text-slate-500 hover:bg-primary/10 hover:text-primary transition-all">Justice Systems Comparison</button>
+<button class="px-4 py-2 rounded-full border border-primary/20 text-xs font-medium text-slate-500 hover:bg-primary/10 hover:text-primary transition-all">Ethics of Intelligence</button>
+</div>
+</main>
+</div>
+</body></html>

frontend/tsconfig.json

@@ -0,0 +1,34 @@
+{
+  "compilerOptions": {
+    "target": "ES2017",
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "react-jsx",
+    "incremental": true,
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ],
+    "paths": {
+      "@/*": ["./src/*"]
+    }
+  },
+  "include": [
+    "next-env.d.ts",
+    "**/*.ts",
+    "**/*.tsx",
+    ".next/types/**/*.ts",
+    ".next/dev/types/**/*.ts",
+    "**/*.mts"
+  ],
+  "exclude": ["node_modules"]
+}

searxng/settings.yml

@@ -0,0 +1,18 @@
+use_default_settings: true
+general:
+  debug: false
+  instance_name: "Anvesha AI Search Node"
+
+search:
+  formats:
+    - html
+    - json
+  safe_search: 0
+  autocomplete: "duckduckgo"
+  default_region: "in-en"
+
+server:
+  secret_key: "anvesha_secret_key_12345"
+
+outgoing:
+  request_timeout: 10.0