Real-time Nutritional Data Integration and Analytics Platform

The project involves designing and implementing a robust real-time data integration and analytics platform tailored for the Nutrition & Dietetics industry. As a scale-up company, we aim to revolutionize how nutritional data is collected, analyzed, and applied to offer personalized dietary recommendations. The project will utilize Apache Kafka for event streaming, enabling real-time data collection from diverse sources such as fitness apps, dietary logs, and health monitoring devices. Leveraging technologies like Spark and Databricks, the platform will process and analyze vast datasets to identify patterns and insights that drive personalized nutrition plans. With Snowflake and BigQuery, we aim for efficient data storage and retrieval, while Airflow and dbt will orchestrate complex data workflows and transformations. The platform's data observability feature will ensure high data quality and reliability, underpinned by an MLOps framework to streamline model development and deployment. This initiative addresses a growing market demand for personalized nutrition, promising to enhance customer satisfaction and engagement.