Eligibility Filtering And Rule Based Matching

via “eligibility filtering and rule-based matching”

Unique: Combines hard eligibility filtering with AI ranking to reduce false positives in recommendations. The system must parse and apply complex eligibility rules from scholarship descriptions, which may require NLP to extract constraints from unstructured text.

vs others: More precise than simple keyword search because it eliminates ineligible opportunities before ranking, but less flexible than human advisors who can identify edge cases or advocate for exceptions.