Content Crawler For Scientific Literature and Images

  • Client: A leading cancer research center.

  • Objective: Aim was to build a knowledge hub of scientific data that gets updated in real time and extracts accurate and specific information on demand.

  • Solution and Outcome: With data mining and web scraping technology following detailed keyword/image annotation, a database was built and used to train an Artificial Intelligence model. As an API, the system was integrated into the client’s operational flow so as to answer all scientific queries in real time and learn from the user’s search habits to optimize results.