Take a picture and let the model examine if it is a man or a woman, young or old. Change facial expressions, give it a smile and see if the model can capture your smile?
Search a book out of 640 available books and find similar books recommended by our Machine Learning Model. Books have been clustered on the basis of ratings provided by other users and thus uses collaboration based filtering.
Ask two questions, same or different and see if the AI can figure out the duplication or not?
This is a Binary Image Classifier that takes an image as input and tells if its a dog or a cat. Fetch an image and see what our models says about your picture, if it resembles more to a dog or a cat
Find recommendations on the latest movies of 2022. Recommendation are based on genres, cast and context of the movies, implementing content based filtering
Enter a movie review and let the model predict if it is a positive review or a negative one. You can review in a word, two words or more than 5000 words, there is no limit, but as the review length increases, the computation takes time respectively.
The dataset consists of approximately 6000 movies. Similar movies have been clustered on the basis of their genres, theme, description and story line (content-based approach) and on the basis of users' ratings (collaborative-filtering). Enter title of the movie and find movies similar to it, recommended by our Hybrid Recommender System.