Search Engine and Recommendation System for the Music Industry built
  with JinaAI
Ishita Gopalakrishnan Sanjjushri Varshini R Ponshriharini V
One of the most intriguing debates regarding a novel task is the development
of search engines and recommendation-based systems in the music industry.
Studies have shown a drastic depression in the search engine fields, due to
concerning factors such as speed, accuracy and the format of data given for
querying. Often people face difficulty in searching for a song solely based on
the title, hence a solution is proposed to complete a search analysis through a
single query input and is matched with the lyrics of the songs present in the
database. Hence it is essential to incorporate cutting-edge technology tools
for developing a user-friendly search engine. Jina AI is an MLOps framework for
building neural search engines that are utilized, in order for the user to
obtain accurate results. Jina AI effectively helps to maintain and enhance the
quality of performance for the search engine for the query given. An effective
search engine and a recommendation system for the music industry, built with
JinaAI.