Movie Recomendation
Web Application which works on Content Based Filtering using Cosine Similarity Metric. We deployed ML model using python libraries and used HTML, CSS and Js for the frontend.
Movie Recomendation
Web Application which works on Content Based Filtering using Cosine Similarity Metric. We deployed ML model using python libraries and used HTML, CSS and Js for the frontend.
The problem Movie Recomendation solves
Many times we waste our time looking for what to watch.
So this web application helps you to find a similar movie or a movie specified by your given genre.
Challenges we ran into
The first challenge we faced was deciding which python library to use for the ML model, which even after choosing gave a lot of bugs whiile integrating it which the model with the frontend.
Also the API which was publicly available had not more than 100 clicks per day and we were unable to find what the problem was.
all these consumed most of our time.
Technologies used
Discussion