Flutter is revolutionizing mobile app development with its single codebase approach. For astrology app developers, this means building once and deploying to both iOS and Android with native performance, beautiful Material Design widgets, and blazing-fast hot reload.
In this comprehensive tutorial, we'll build a production-ready astrology app from scratch using Flutter and Vedika API - the only B2B astrology API with AI-powered conversational capabilities. By the end, you'll have a fully functional app with birth charts, daily horoscopes, AI chatbot, and real-time predictions.
What You'll Build: A cross-platform astrology app featuring birth chart input, AI-powered predictions, streaming chat responses, daily horoscopes, and a polished Material Design UI. The app will work seamlessly on iOS and Android with production-grade error handling.
Why Flutter for Astrology Apps?
Single Codebase
Write once, deploy to iOS, Android, web, and desktop. Reduce development time by 60%.
60fps Performance
Dart compiles to native ARM code. Smooth animations for chart visualizations and transitions.
Hot Reload
See changes instantly without restarting the app. Perfect for UI iteration.
Material Design
Beautiful, native-looking widgets out of the box. Cupertino widgets for iOS styling.
Prerequisites
Before starting, ensure you have:
- Flutter SDK installed (version 3.16 or later)
- Xcode (for iOS development) or Android Studio
- Vedika API key (get free key here)
- Basic knowledge of Dart programming
Step 1: Setup Flutter Project
Create a new Flutter project and add required dependencies:
flutter create astrology_app
cd astrology_app
code .
Add Dependencies
Update your pubspec.yaml file with these packages:
name: astrology_app
description: AI-powered astrology app with Vedika API
dependencies:
flutter:
sdk: flutter
http: ^1.2.0
provider: ^6.1.1
intl: ^0.19.0
geolocator: ^11.0.0
geocoding: ^3.0.0
flutter_svg: ^2.0.9
shimmer: ^3.0.0
dev_dependencies:
flutter_test:
sdk: flutter
flutter_lints: ^3.0.1
Run flutter pub get to install dependencies.
Step 2: Create Vedika API Service Class
Create a dedicated service class to handle all Vedika API interactions. This follows best practices for separation of concerns:
import 'dart:convert';
import 'package:http/http.dart' as http;
class VedikaService {
static const String _baseUrl = 'https://api.vedika.io';
final String apiKey;
VedikaService({required this.apiKey});
Future<Map<String, dynamic>> getBirthChart({
required DateTime birthDateTime,
required double latitude,
required double longitude,
String timezone = '+05:30',
}) async {
final response = await http.post(
Uri.parse('$_baseUrl/api/vedika/chat'),
headers: {
'Content-Type': 'application/json',
'x-api-key': apiKey,
},
body: json.encode({
'question': 'Generate my complete birth chart',
'birthDetails': {
'datetime': birthDateTime.toIso8601String(),
'latitude': latitude,
'longitude': longitude,
'timezone': timezone,
},
}),
);
if (response.statusCode == 200) {
return json.decode(response.body);
} else {
throw Exception('Failed to fetch birth chart: ${response.body}');
}
}
Future<String> getDailyHoroscope({
required String zodiacSign,
DateTime? birthDateTime,
double? latitude,
double? longitude,
}) async {
String question = 'What is today\'s horoscope for $zodiacSign? '
'Include predictions for career, love, health, and finance.';
final body = {
'question': question,
};
if (birthDateTime != null && latitude != null && longitude != null) {
body['birthDetails'] = {
'datetime': birthDateTime.toIso8601String(),
'latitude': latitude,
'longitude': longitude,
'timezone': '+05:30',
};
}
final response = await http.post(
Uri.parse('$_baseUrl/api/vedika/chat'),
headers: {
'Content-Type': 'application/json',
'x-api-key': apiKey,
},
body: json.encode(body),
);
if (response.statusCode == 200) {
final data = json.decode(response.body);
return data['answer'] ?? 'No prediction available';
} else {
throw Exception('Failed to fetch horoscope');
}
}
Future<String> askQuestion({
required String question,
required DateTime birthDateTime,
required double latitude,
required double longitude,
}) async {
final response = await http.post(
Uri.parse('$_baseUrl/api/vedika/chat'),
headers: {
'Content-Type': 'application/json',
'x-api-key': apiKey,
},
body: json.encode({
'question': question,
'birthDetails': {
'datetime': birthDateTime.toIso8601String(),
'latitude': latitude,
'longitude': longitude,
'timezone': '+05:30',
},
}),
);
if (response.statusCode == 200) {
final data = json.decode(response.body);
return data['answer'] ?? 'No answer available';
} else {
throw Exception('Failed to get answer');
}
}
}
Step 3: Build Birth Chart Input Form
Create a beautiful form to collect user's birth details with date/time pickers and location input:
import 'package:flutter/material.dart';
import 'package:intl/intl.dart';
class BirthDetailsScreen extends StatefulWidget {
@override
State<BirthDetailsScreen> createState() => _BirthDetailsScreenState();
}
class _BirthDetailsScreenState extends State<BirthDetailsScreen> {
final _formKey = GlobalKey<FormState>();
DateTime? _selectedDate;
TimeOfDay? _selectedTime;
final _latController = TextEditingController();
final _lonController = TextEditingController();
void _selectDate() async {
final date = await showDatePicker(
context: context,
initialDate: DateTime.now().subtract(Duration(days: 365 * 25)),
firstDate: DateTime(1900),
lastDate: DateTime.now(),
);
if (date != null) {
setState(() => _selectedDate = date);
}
}
void _selectTime() async {
final time = await showTimePicker(
context: context,
initialTime: TimeOfDay(hour: 12, minute: 0),
);
if (time != null) {
setState(() => _selectedTime = time);
}
}
void _submitForm() {
if (_formKey.currentState!.validate() &&
_selectedDate != null &&
_selectedTime != null) {
final birthDateTime = DateTime(
_selectedDate!.year,
_selectedDate!.month,
_selectedDate!.day,
_selectedTime!.hour,
_selectedTime!.minute,
);
Navigator.pushNamed(
context,
'/birth-chart',
arguments: {
'datetime': birthDateTime,
'latitude': double.parse(_latController.text),
'longitude': double.parse(_lonController.text),
},
);
}
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Birth Details'),
backgroundColor: Colors.deepPurple,
),
body: SingleChildScrollView(
padding: EdgeInsets.all(16),
child: Form(
key: _formKey,
child: Column(
crossAxisAlignment: CrossAxisAlignment.stretch,
children: [
InkWell(
onTap: _selectDate,
child: InputDecorator(
decoration: InputDecoration(
labelText: 'Birth Date',
border: OutlineInputBorder(),
prefixIcon: Icon(Icons.calendar_today),
),
child: Text(
_selectedDate == null
? 'Select date'
: DateFormat('dd MMM yyyy').format(_selectedDate!),
),
),
),
SizedBox(height: 16),
InkWell(
onTap: _selectTime,
child: InputDecorator(
decoration: InputDecoration(
labelText: 'Birth Time',
border: OutlineInputBorder(),
prefixIcon: Icon(Icons.access_time),
),
child: Text(
_selectedTime == null
? 'Select time'
: _selectedTime!.format(context),
),
),
),
SizedBox(height: 16),
TextFormField(
controller: _latController,
keyboardType: TextInputType.number,
decoration: InputDecoration(
labelText: 'Latitude',
border: OutlineInputBorder(),
prefixIcon: Icon(Icons.location_on),
hintText: 'e.g., 28.6139',
),
validator: (val) => val?.isEmpty ?? true
? 'Enter latitude' : null,
),
SizedBox(height: 16),
TextFormField(
controller: _lonController,
keyboardType: TextInputType.number,
decoration: InputDecoration(
labelText: 'Longitude',
border: OutlineInputBorder(),
prefixIcon: Icon(Icons.location_on),
hintText: 'e.g., 77.2090',
),
validator: (val) => val?.isEmpty ?? true
? 'Enter longitude' : null,
),
SizedBox(height: 24),
ElevatedButton(
onPressed: _submitForm,
style: ElevatedButton.styleFrom(
backgroundColor: Colors.deepPurple,
padding: EdgeInsets.symmetric(vertical: 16),
),
child: Text(
'Generate Birth Chart',
style: TextStyle(fontSize: 16),
),
),
],
),
),
),
);
}
}
Step 4: Display Birth Chart Results
Create a screen to show birth chart data in a beautiful, scrollable layout:
import 'package:flutter/material.dart';
import '../services/vedika_service.dart';
class BirthChartScreen extends StatefulWidget {
@override
State<BirthChartScreen> createState() => _BirthChartScreenState();
}
class _BirthChartScreenState extends State<BirthChartScreen> {
bool _loading = true;
Map<String, dynamic>? _chartData;
String? _error;
@override
void didChangeDependencies() {
super.didChangeDependencies();
_fetchBirthChart();
}
void _fetchBirthChart() async {
final args = ModalRoute.of(context)!.settings.arguments
as Map<String, dynamic>;
final service = VedikaService(
apiKey: 'YOUR_API_KEY_HERE',
);
try {
final data = await service.getBirthChart(
birthDateTime: args['datetime'],
latitude: args['latitude'],
longitude: args['longitude'],
);
setState(() {
_chartData = data;
_loading = false;
});
} catch (e) {
setState(() {
_error = e.toString();
_loading = false;
});
}
}
@override
Widget build(BuildContext context) {
if (_loading) {
return Scaffold(
appBar: AppBar(title: Text('Birth Chart')),
body: Center(child: CircularProgressIndicator()),
);
}
if (_error != null) {
return Scaffold(
appBar: AppBar(title: Text('Birth Chart')),
body: Center(child: Text('Error: $_error')),
);
}
return Scaffold(
appBar: AppBar(
title: Text('Your Birth Chart'),
backgroundColor: Colors.deepPurple,
),
body: SingleChildScrollView(
padding: EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Card(
elevation: 4,
child: Padding(
padding: EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
'Birth Chart Analysis',
style: TextStyle(
fontSize: 20,
fontWeight: FontWeight.bold,
),
),
SizedBox(height: 12),
Text(
_chartData?['answer'] ?? 'No data',
style: TextStyle(fontSize: 15, height: 1.5),
),
],
),
),
),
],
),
),
);
}
}
Step 5: Add Daily Horoscope Feature
Create a zodiac sign selector and daily horoscope display:
import 'package:flutter/material.dart';
import '../services/vedika_service.dart';
class DailyHoroscopeScreen extends StatefulWidget {
@override
State<DailyHoroscopeScreen> createState() => _DailyHoroscopeScreenState();
}
class _DailyHoroscopeScreenState extends State<DailyHoroscopeScreen> {
String? _selectedSign;
bool _loading = false;
String? _prediction;
final List<Map<String, String>> zodiacSigns = [
{'name': 'Aries', 'emoji': '♈'},
{'name': 'Taurus', 'emoji': '♉'},
{'name': 'Gemini', 'emoji': '♊'},
{'name': 'Cancer', 'emoji': '♋'},
{'name': 'Leo', 'emoji': '♌'},
{'name': 'Virgo', 'emoji': '♍'},
{'name': 'Libra', 'emoji': '♎'},
{'name': 'Scorpio', 'emoji': '♏'},
{'name': 'Sagittarius', 'emoji': '♐'},
{'name': 'Capricorn', 'emoji': '♑'},
{'name': 'Aquarius', 'emoji': '♒'},
{'name': 'Pisces', 'emoji': '♓'},
];
void _fetchHoroscope(String sign) async {
setState(() {
_selectedSign = sign;
_loading = true;
});
final service = VedikaService(apiKey: 'YOUR_API_KEY_HERE');
try {
final prediction = await service.getDailyHoroscope(zodiacSign: sign);
setState(() {
_prediction = prediction;
_loading = false;
});
} catch (e) {
setState(() {
_prediction = 'Error fetching horoscope';
_loading = false;
});
}
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Daily Horoscope'),
backgroundColor: Colors.deepPurple,
),
body: Column(
children: [
Expanded(
flex: 2,
child: GridView.builder(
padding: EdgeInsets.all(16),
gridDelegate: SliverGridDelegateWithFixedCrossAxisCount(
crossAxisCount: 3,
crossAxisSpacing: 12,
mainAxisSpacing: 12,
),
itemCount: zodiacSigns.length,
itemBuilder: (context, index) {
final sign = zodiacSigns[index];
final isSelected = _selectedSign == sign['name'];
return InkWell(
onTap: () => _fetchHoroscope(sign['name']!),
child: Container(
decoration: BoxDecoration(
color: isSelected
? Colors.deepPurple
: Colors.white,
borderRadius: BorderRadius.circular(12),
border: Border.all(
color: Colors.deepPurple,
width: 2,
),
),
child: Column(
mainAxisAlignment: MainAxisAlignment.center,
children: [
Text(
sign['emoji']!,
style: TextStyle(fontSize: 32),
),
SizedBox(height: 4),
Text(
sign['name']!,
style: TextStyle(
color: isSelected
? Colors.white
: Colors.black,
fontWeight: FontWeight.bold,
),
),
],
),
),
);
},
),
),
if (_loading)
Expanded(
flex: 3,
child: Center(child: CircularProgressIndicator()),
)
else if (_prediction != null)
Expanded(
flex: 3,
child: SingleChildScrollView(
padding: EdgeInsets.all(16),
child: Card(
elevation: 4,
child: Padding(
padding: EdgeInsets.all(16),
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
'Today\'s Horoscope for $_selectedSign',
style: TextStyle(
fontSize: 18,
fontWeight: FontWeight.bold,
),
),
SizedBox(height: 12),
Text(
_prediction!,
style: TextStyle(fontSize: 15, height: 1.5),
),
],
),
),
),
),
)
else
Expanded(
flex: 3,
child: Center(
child: Text('Select a zodiac sign'),
),
),
],
),
);
}
}
Step 6: Add AI Chatbot Integration
Create an interactive chat screen where users can ask astrology questions:
import 'package:flutter/material.dart';
import '../services/vedika_service.dart';
class ChatMessage {
final String text;
final bool isUser;
ChatMessage({required this.text, required this.isUser});
}
class ChatScreen extends StatefulWidget {
final DateTime birthDateTime;
final double latitude;
final double longitude;
ChatScreen({
required this.birthDateTime,
required this.latitude,
required this.longitude,
});
@override
State<ChatScreen> createState() => _ChatScreenState();
}
class _ChatScreenState extends State<ChatScreen> {
final List<ChatMessage> _messages = [];
final _textController = TextEditingController();
final _scrollController = ScrollController();
bool _loading = false;
void _sendMessage() async {
if (_textController.text.isEmpty || _loading) return;
final userMessage = _textController.text;
setState(() {
_messages.add(ChatMessage(text: userMessage, isUser: true));
_loading = true;
});
_textController.clear();
_scrollToBottom();
final service = VedikaService(apiKey: 'YOUR_API_KEY_HERE');
try {
final answer = await service.askQuestion(
question: userMessage,
birthDateTime: widget.birthDateTime,
latitude: widget.latitude,
longitude: widget.longitude,
);
setState(() {
_messages.add(ChatMessage(text: answer, isUser: false));
_loading = false;
});
_scrollToBottom();
} catch (e) {
setState(() {
_messages.add(ChatMessage(
text: 'Error: ${e.toString()}',
isUser: false,
));
_loading = false;
});
}
}
void _scrollToBottom() {
Future.delayed(Duration(milliseconds: 100), () {
if (_scrollController.hasClients) {
_scrollController.animateTo(
_scrollController.position.maxScrollExtent,
duration: Duration(milliseconds: 300),
curve: Curves.easeOut,
);
}
});
}
@override
Widget build(BuildContext context) {
return Scaffold(
appBar: AppBar(
title: Text('Ask Vedika AI'),
backgroundColor: Colors.deepPurple,
),
body: Column(
children: [
Expanded(
child: ListView.builder(
controller: _scrollController,
padding: EdgeInsets.all(16),
itemCount: _messages.length,
itemBuilder: (context, index) {
final message = _messages[index];
return Align(
alignment: message.isUser
? Alignment.centerRight
: Alignment.centerLeft,
child: Container(
margin: EdgeInsets.only(bottom: 12),
padding: EdgeInsets.symmetric(
horizontal: 16,
vertical: 12,
),
decoration: BoxDecoration(
color: message.isUser
? Colors.deepPurple
: Colors.grey[200],
borderRadius: BorderRadius.circular(12),
),
constraints: BoxConstraints(
maxWidth: MediaQuery.of(context).size.width * 0.7,
),
child: Text(
message.text,
style: TextStyle(
color: message.isUser ? Colors.white : Colors.black87,
),
),
),
);
},
),
),
if (_loading)
Padding(
padding: EdgeInsets.all(8),
child: Text('Consulting the stars...'),
),
Container(
padding: EdgeInsets.all(8),
decoration: BoxDecoration(
color: Colors.white,
border: Border(top: BorderSide(color: Colors.grey[300]!)),
),
child: Row(
children: [
Expanded(
child: TextField(
controller: _textController,
decoration: InputDecoration(
hintText: 'Ask about career, love, health...',
border: OutlineInputBorder(
borderRadius: BorderRadius.circular(24),
),
contentPadding: EdgeInsets.symmetric(
horizontal: 16,
vertical: 12,
),
),
onSubmitted: (_) => _sendMessage(),
),
),
SizedBox(width: 8),
IconButton(
onPressed: _loading ? null : _sendMessage,
icon: Icon(Icons.send),
color: Colors.deepPurple,
),
],
),
),
],
),
);
}
}
Step 7: Polish UI with Flutter Widgets
Create a beautiful home screen with navigation to all features:
import 'package:flutter/material.dart';
class HomeScreen extends StatelessWidget {
@override
Widget build(BuildContext context) {
return Scaffold(
body: Container(
decoration: BoxDecoration(
gradient: LinearGradient(
begin: Alignment.topLeft,
end: Alignment.bottomRight,
colors: [
Color(0xFF667eea),
Color(0xFF764ba2),
],
),
),
child: SafeArea(
child: Column(
children: [
Padding(
padding: EdgeInsets.all(24),
child: Column(
children: [
Text(
'Cosmic Insights',
style: TextStyle(
fontSize: 32,
fontWeight: FontWeight.bold,
color: Colors.white,
),
),
SizedBox(height: 8),
Text(
'Powered by Vedika AI',
style: TextStyle(
fontSize: 16,
color: Colors.white70,
),
),
],
),
),
Expanded(
child: ListView(
padding: EdgeInsets.all(16),
children: [
_buildFeatureCard(
context,
icon: Icons.auto_graph,
title: 'Birth Chart',
description: 'Get your complete Vedic birth chart',
route: '/birth-details',
),
SizedBox(height: 16),
_buildFeatureCard(
context,
icon: Icons.calendar_today,
title: 'Daily Horoscope',
description: 'Read your daily predictions',
route: '/daily-horoscope',
),
SizedBox(height: 16),
_buildFeatureCard(
context,
icon: Icons.chat,
title: 'Ask Vedika AI',
description: 'Chat with AI astrologer',
route: '/chat',
),
],
),
),
],
),
),
),
);
}
Widget _buildFeatureCard(
BuildContext context, {
required IconData icon,
required String title,
required String description,
required String route,
}) {
return Card(
elevation: 8,
shape: RoundedRectangleBorder(borderRadius: BorderRadius.circular(16)),
child: InkWell(
onTap: () => Navigator.pushNamed(context, route),
borderRadius: BorderRadius.circular(16),
child: Padding(
padding: EdgeInsets.all(20),
child: Row(
children: [
Container(
padding: EdgeInsets.all(16),
decoration: BoxDecoration(
color: Colors.deepPurple.withOpacity(0.1),
borderRadius: BorderRadius.circular(12),
),
child: Icon(icon, size: 32, color: Colors.deepPurple),
),
SizedBox(width: 16),
Expanded(
child: Column(
crossAxisAlignment: CrossAxisAlignment.start,
children: [
Text(
title,
style: TextStyle(
fontSize: 18,
fontWeight: FontWeight.bold,
),
),
SizedBox(height: 4),
Text(
description,
style: TextStyle(color: Colors.grey[600]),
),
],
),
),
Icon(Icons.arrow_forward_ios, color: Colors.grey),
],
),
),
),
);
}
}
Step 8: Configure Routes & Run
Set up navigation routes in your main app file:
import 'package:flutter/material.dart';
import 'screens/home_screen.dart';
import 'screens/birth_details_screen.dart';
import 'screens/birth_chart_screen.dart';
import 'screens/daily_horoscope_screen.dart';
import 'screens/chat_screen.dart';
void main() {
runApp(MyApp());
}
class MyApp extends StatelessWidget {
@override
Widget build(BuildContext context) {
return MaterialApp(
title: 'Cosmic Insights',
theme: ThemeData(
primarySwatch: Colors.deepPurple,
visualDensity: VisualDensity.adaptivePlatformDensity,
),
initialRoute: '/',
routes: {
'/': (context) => HomeScreen(),
'/birth-details': (context) => BirthDetailsScreen(),
'/birth-chart': (context) => BirthChartScreen(),
'/daily-horoscope': (context) => DailyHoroscopeScreen(),
'/chat': (context) => ChatScreen(
birthDateTime: DateTime.now(),
latitude: 28.6139,
longitude: 77.2090,
),
},
);
}
}
Run your app:
flutter run
flutter run -d iphone
flutter run -d emulator
Ready to Build Your Astrology App?
Get your free Vedika API key - no credit card required. 10 free queries to start.
Get Your API Key
Advanced Features to Add
1. Streaming Chat Responses
For real-time streaming predictions, you can implement Server-Sent Events (SSE) or WebSocket support. Vedika AI supports streaming responses for a more interactive chat experience.
2. Push Notifications for Daily Horoscope
Use Firebase Cloud Messaging to send daily horoscope notifications. Schedule API calls at midnight to fetch predictions for each user's zodiac sign.
3. Multi-Language Support
Vedika API supports 30 languages. Add language selection to get predictions in Hindi, Tamil, Telugu, Bengali, and more.
final response = await service.askQuestion(
question: 'मेरा करियर कैसा रहेगा?',
birthDateTime: birthDateTime,
latitude: latitude,
longitude: longitude,
);
4. Chart Visualization
Use packages like fl_chart or syncfusion_flutter_charts to create beautiful birth chart visualizations with planetary positions and houses.
5. Compatibility Matching
Add a feature for users to check compatibility with partners by comparing two birth charts:
final compatibility = await service.askQuestion(
question: 'How compatible am I with someone born on '
'March 15, 1992 at 10:30 AM in Mumbai?',
birthDateTime: myBirthDateTime,
latitude: myLatitude,
longitude: myLongitude,
);
Production Best Practices
Secure API Key Storage
Never hardcode API keys. Use flutter_secure_storage for secure key storage:
final storage = FlutterSecureStorage();
await storage.write(key: 'vedika_api_key', value: 'vk_live_...');
final apiKey = await storage.read(key: 'vedika_api_key');
Error Handling
Implement robust error handling with user-friendly messages:
try {
final data = await service.getBirthChart(...);
} on SocketException {
showDialog(...);
} on HttpException {
showDialog(...);
} catch (e) {
print('Error: $e');
}
Caching for Offline Access
Cache birth chart data using hive or shared_preferences to reduce API calls and enable offline viewing.
Deployment
Build for iOS
flutter build ios --release
open ios/Runner.xcworkspace
Build for Android
flutter build apk --release
flutter build appbundle --release
Sample Questions Users Can Ask
Guide your users with suggested questions they can ask the AI chatbot:
- "What are my career prospects this year?"
- "When will I get married according to my horoscope?"
- "Is this a good time to start a new business?"
- "What gemstone should I wear for luck?"
- "Explain my current Mahadasha period"
- "What does my 7th house say about relationships?"
- "Am I going through Sade Sati?"
- "What are the yogas in my birth chart?"
Why Choose Vedika API?
AI-Powered
Only astrology API with natural language AI chatbot. No complex calculations needed.
300+ Calculations
Birth charts, planetary positions, yogas, doshas, dashas, transits, and more.
30 Languages
Support for Hindi, Tamil, Telugu, Bengali, Gujarati, Marathi, Kannada, and 23 more.
97% Accuracy
astronomical-grade Swiss Ephemeris for planetary calculations with astronomical precision.
Production-Ready
99.9% uptime, rate limiting, secure authentication, comprehensive error handling.
Developer-Friendly
RESTful API, detailed docs, code examples, and responsive support team.
Pricing
Vedika API offers transparent, pay-as-you-go pricing starting at just $12/month:
- Starter Plan: $12/month - Perfect for indie developers
- Professional Plan: $60/month - For growing apps
- Business Plan: $120/month - For production apps
- Enterprise Plan: $240/month - Unlimited usage with top-up credits
All plans include the full API with 120+ calculations, AI chatbot, and multi-language support. View detailed pricing
Conclusion
Building an astrology app with Flutter and Vedika API is remarkably straightforward. The key advantages:
- Cross-platform efficiency: Single Dart codebase for iOS and Android
- No astrology expertise required: AI handles complex calculations and interpretations
- Natural language interface: Users ask questions in plain language
- Production-ready API: 99.9% uptime, secure, scalable infrastructure
- Beautiful UI: Flutter's Material Design widgets make it easy to build stunning UIs
- Fast development: Hot reload enables rapid iteration and testing
Next steps:
- Get your free Vedika API key at vedika.io/signup
- Clone the full source code from our Flutter starter template
- Customize the UI to match your brand
- Add advanced features like compatibility matching and transit predictions
- Deploy to App Store and Play Store
Have questions? Check out our comprehensive documentation or reach out to our support team. We're here to help you build amazing astrology apps!
About Vedika Intelligence: Vedika is the only B2B astrology API with AI-powered chatbot capabilities, serving production apps worldwide. Our multi-agent swarm intelligence system enables natural language astrology queries with verified precision, supporting both Vedic and Western astrology systems across 30 languages.