The search engine is built for personalized, accurate, and context-aware search results. By integrating Elasticsearch, NLP, AI/ML, and LLMs, it ensures fast and scalable search experiences. A Backoffice console allows administrators to fine-tune settings, monitor performance, and optimize configurations.

The recommendation engine is designed toenhance user engagement and conversion by suggesting relevant content,products, and services based on user behavior, preferences, and trends. Byleveraging advanced NLP, AI/ML models, and Python for backend implementations,the system will provide personalized recommendations, popular trends, andlocation-based suggestions.