Built video recommendation system based on content based filtering and KNN algorithm.

Scrapped the data from Youtube using google client api. Extracted data of five category like food, travel,arts and science. data consist video id,title and description of the video.

Preprocessed the data using NLP library. Preprocessing of data include remove the emojies,duplicate records if present and numerical value. extracted only english language data from scrapped data.

for model building phase, builded model using TF-IDF and K-Nearest Neighbour method that recommend top five similar videos to user.

deployed the model using Flask.