Vet scripts for scraping PDF files

Vet scripts for scraping PDF files: Leveraging Node.js and Google Cloud Platform, I developed scalable solutions for extracting medical data from canine patient records. Explore more in my portfolio!

NODE.JSFIREBASECLOUD SERVICESGOOGLE CLOUD PLATFORMNODEBIG QUERY

Status Project: COMPLETED

1/6/2021

vet enterprise ivee logo
vet enterprise ivee logo

For IVEEE, a veterinary company dedicated to providing comprehensive care for animals, I embarked on a project aimed at streamlining the process of extracting vital medical information from PDF files containing the medical history of various canine patients.

Using my expertise in Node.js and leveraging the robust infrastructure of the Google Cloud Platform, I developed sophisticated scripts tailored to the specific needs of IVEEE. These scripts were meticulously designed to parse through the intricate details within the PDF files, extracting essential medical data with precision and accuracy.

The heart of the solution lay in its scalability and efficiency. With a Google Storage bucket serving as the repository for the PDF files uploaded by veterinarians, a cloud function was seamlessly triggered upon the reception of each file. This cloud function, intricately woven into the fabric of the Google Cloud Platform, swiftly read and scraped the contents of the PDF based on the associated scrapper relevant to the system from which the clinical history was generated.

One of the most remarkable aspects of this scraping solution was its adaptability. As new types of PDF files were introduced, the system effortlessly accommodated them, thanks to its modular design. Adding new scraping functions based on the specific format of the PDF files became a streamlined process, ensuring continuous scalability and flexibility.

Once the vital medical data was extracted and securely stored in memory, it was seamlessly persisted in BigQuery, Google's highly scalable and cost-effective data warehouse. This centralized repository served as the foundation for further exploration and analysis by various departments within the company.

One notable application of this stored data was the implementation of interactive dashboards, providing invaluable insights into the health and medical history of the canine patients. These dashboards, powered by the wealth of data stored in BigQuery, offered veterinarians and other stakeholders a comprehensive overview of each patient's health status, treatment history, and potential risk factors.

Undoubtedly, this project was a testament to the power of technology in revolutionizing the healthcare industry. Spanning over a year, it exemplified the dedication and innovation required to address complex challenges and deliver impactful solutions in the field of veterinary care.