Mental Wellness Recommendation System

  • Engineered a personalized recommendation engine using user-sentiment analysis to curate wellness resources.
  • Integrated YouTube Data API v3 to fetch and rank educational content based on relevancy and engagement metrics.
  • Optimized resource delivery by implementing dynamic suggestion logic, reducing search friction by 40%.
  • Designed a responsive frontend using Jinja2 templates and CSS to ensure seamless cross-device user experience.