AppVantage leverages advanced AI to revolutionize how users discover, compare, and understand mobile applications in the crowded Google Play Store marketplace.
The Google Play Store hosts millions of apps, making discovery extremely challenging. Users often struggle to navigate the crowded marketplace.
- Unreliable ratings and biased reviews making it difficult to assess app quality
- No personalized recommendations tailored to individual user preferences
- Lack of structured app comparison tools for informed decision-making
- Manual, time-consuming content creation for blogs and app reviews
AppVantage integrates AI-driven ranking, hybrid recommendations, and automated blog generation to:
- Simplify app discovery with intelligent search and filtering
- Provide thorough comparisons between similar applications
- Reduce content creation effort with AI-generated blogs and reviews
- Ultimately allow users to make faster & better choices
- Comprehensive scraping of Google Play Store data including:
- App ratings and downloads
- User reviews and sentiment
- App descriptions and categorization
- Update frequency and developer response metrics
- Advanced weighted scoring system (R-Index) combining:
- App ratings and popularity
- Review sentiment analysis
- Download trends and user retention
- User preference matching
- Category benchmarking
- Orchestrated Agent system in a Retrieval Augmented Generation pipeline:
- Context-aware query processing
- Intelligent database retrieval
- Personalized response generation
- Continuous learning from user interactions
- Automated, high-quality content generation:
- Trend identification through user interaction analysis
- Social sentiment monitoring across platforms
- Scheduled content creation via Cron jobs
- SEO-optimized blog articles on trending app categories
User Query → Chatbot → Master Agent → Specialized Agents (Crawl, Recommendation, Content)
↓
Response generated through Play Store scraping,
ML recommendation models, OpenAI generation,
and database retrieval- Main Window: Features trending apps, generated blog content, and personalized recommendations
- Interactive Chatbot: Natural language interface for complex queries and personalized assistance
- Frontend: Next.js, TypeScript, Tailwind CSS, shadcn UI
- Backend: Node.js, Express
- Database: PostgreSQL with Drizzle ORM
- Cloud Services: Supabase
- AI Integration: OpenAI SDK
- Deployment: Docker, Vercel
# Clone the repository
git clone https://github.com/EvolutionX-10/appvantage.git
# Navigate to project directory
cd appvantage
# Install dependencies
bun installCreate a .env file in the root directory with the following variables:
DATABASE_URL=your_postgres_connection_string
SUPABASE_URL=your_supabase_url
SUPABASE_KEY=your_supabase_key
OPENAI_API_KEY=your_openai_api_key
# Development mode
bun dev
# Development mode
bun dev
# Build the Next.js application for production
next build
# Start the Next.js application in production mode
next start
# Run ESLint to analyze and fix code issues
next lint
# Generate migration files based on schema changes
drizzle-kit generate
# Apply pending migrations to the database
drizzle-kit migrate
# Drop all tables in the database
drizzle-kit drop
# Open a web-based GUI for managing the database
drizzle-kit studio
# Push schema changes to the database without generating migration files
drizzle-kit push
# Pull the current database schema into the project
drizzle-kit pull- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Project Link: https://github.com/EvolutionX-10/appvantage
Built with ❤️ by AppVantage Team