We were nominated 2nd place among 26 undergraduate teams in case competition for creating an AI based solution for providing legal protection to online reviewers and review service providers including TripAdvisor and Yelp.

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We were able to analyze every single possibilities of legal dispute related to online reviews and convert the analysis into algorithm that eventually became the basis of our ML solution.

By applying Machine learning technology including multi-classification, association, and data mining that results in well-structured database as well as comparison of new reviews with the database, we've provided detailed cost analysis of our solution that resulted in 6% of yearly revenue and at the same time enhancing the system viability by 25%