Real-time Search Analytics is a web application built with Ruby on Rails, designed to provide users with insights into search queries and suggestions. It offers a sleek and responsive interface to analyze, log, and retrieve search terms based on user interactions.
- Search Term Analytics: Track and analyze search term usage over time.
- Suggestion Engine: Offer real-time search suggestions for enhanced user experience.
- User-specific Insights: Retrieve a user's most recent and frequent search terms.
- Global Trends: Explore overall popular search terms across all users.
- Ruby on Rails.
- Tailwind CSS (for styling).
- Tailwind css (for styling in some views).
- DamerauLevenshtein gem (for calculating Levenshtein distance).
- Clone the repository.
- Install dependencies using
bundle install. - Set up the database with
rails db:migrate. - Run the application using
rails server.
- Check the live demo on Heroku
- Mohammed S Mahdi.