Food Label

A scalable, high-speed search engine was developed using Elasticsearch to handle over 900,000 rows of data, providing millisecond response times and precise real-time queries. Machine learning-based predictions were integrated to further enhance the search functionality. Additionally, a robust ETL pipeline was implemented with Logstash to automate the extraction, transformation, and loading of CSV data into Elasticsearch, ensuring 100% accuracy and eliminating the need for manual intervention, resulting in seamless and efficient data management.