🚀 A real-time, high-performance Typeahead Suggestion System built using microservices architecture. It leverages Trie data structures, Redis caching, and a distributed indexing system to provide fast and intelligent search suggestions.
Features: 🔍 Real-time Suggestions – Fetch top search suggestions within 200ms ⚡ High-performance Trie Implementation – Efficient in-memory storage for prefix-based search 🏎️ Redis Caching – Faster access to frequently searched terms 🗄️ Distributed Indexing Service – Periodic batch updates to keep search terms fresh 📊 Personalized Suggestions – User-specific recommendations based on search history 🔄 Scalable Microservices Architecture – Built with Spring Boot, Redis, Kafka, and MySQL 🛠️ Deployed with Docker & Kubernetes
Tech Stack: Backend: Spring Boot, Java, Redis, Kafka, MySQL Architecture: Microservices, API Gateway (Spring Cloud), Load Balancer Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions, Azure DevOps)
Roadmap: ✅ Implement Trie-based Search Service ✅ Add Redis Caching for Faster Lookups ✅ Introduce Search Indexing via Kafka & Batch Processing 🚧 Personalization Engine for Context-aware Suggestions 🚧 Machine Learning-based Ranking Algorithm
🔗 Contributions & Issues: Open for PRs and discussions!