To solve the challenges of manual, slow, and potentially biased internal talent requests, I co-developed an intelligent recommendation system. This web-based application, built with Streamlit, uses an LLM to understand project requirements in natural language and automatically matches them against a database of available data talent. The system goes beyond simple matching by integrating with Microsoft Power Automate to automatically generate official request documents and send multi-channel notifications via Teams, Email, and WhatsApp. The solution significantly streamlined the workflow, cutting selection time by 75% and increasing matching effectiveness.
- Technologies Used: LLM, Streamlit, Microsoft Power Automate, Apilogy API, SharePoint