AI Astrology Chatbot: Build Conversational Astrology

What Makes Vedika's AI Different

Vedika is an astrology API with built-in AI that understands natural language. Users can ask questions like:

• "What career suits me based on my birth chart?"
• "Will this year be good for starting a business?"
• "What does my Saturn return mean?"
• "When is the best time to get married?"
• "Explain my Mangal Dosha in simple terms"

Basic Implementation

// Simple chatbot with Vedika AI
const { Vedika } = require('@vedika/sdk');

const vedika = new Vedika({ apiKey: process.env.VEDIKA_API_KEY });

async function handleUserQuery(question, birthDetails) {
    const response = await vedika.chat({
        question,
        birthDetails: {
            datetime: birthDetails.datetime,
            latitude: birthDetails.latitude,
            longitude: birthDetails.longitude
        }
    });

    return response.answer;
}

// Example usage
const answer = await handleUserQuery(
    "What career path suits me best?",
    {
        datetime: '1990-05-15T14:30:00+05:30',
        latitude: 28.6139,
        longitude: 77.2090
    }
);

console.log(answer);
// "Based on your birth chart, you have a strong 10th house with
// Jupiter aspecting, suggesting success in teaching, counseling,
// or advisory roles. Your Mercury in the 9th house also indicates
// potential in writing, publishing, or international business..."

Streaming for Real-Time UI

// Stream responses for better UX
async function streamingChat(question, birthDetails, onChunk) {
    const stream = await vedika.chatStream({
        question,
        birthDetails
    });

    let fullResponse = '';
    for await (const chunk of stream) {
        fullResponse += chunk;
        onChunk(chunk); // Update UI in real-time
    }

    return fullResponse;
}

// React component with streaming
function AstrologyChat({ userBirthDetails }) {
    const [messages, setMessages] = useState([]);
    const [currentResponse, setCurrentResponse] = useState('');

    async function sendMessage(question) {
        setMessages(prev => [...prev, { role: 'user', content: question }]);
        setCurrentResponse('');

        await streamingChat(question, userBirthDetails, (chunk) => {
            setCurrentResponse(prev => prev + chunk);
        });

        setMessages(prev => [...prev, { role: 'assistant', content: currentResponse }]);
    }

    // ... render chat UI
}

Key Features