
This project involved developing a web scraping solution to automatically gather district-level data. The goal was to streamline data collection, providing accurate and real-time information to support better decision-making and improve data-driven strategies.
The automated web scraping tool developed by the team efficiently extracted district-level data with high accuracy, reducing manual data collection efforts by 80%. This solution delivered timely and reliable insights, enabling more informed and agile decision-making across the districts.