This project is a machine learning application that predicts the gross income of a movie based on its budget, IMDb score, and Facebook likes.

The project consists of two main components:

• A linear regression model ( MoviePredict_LinearRegressionModel.pkl ) that is trained on a dataset of movies with their budget, IMDb score, Facebook likes, and gross income.

• A REST API that exposes the model as a web service using FastAPI framework and pedantic for validation. The API has one endpoint (http://192.168.2.103:8000/predict) that accepts a POST request with a JSON body that contains the budget, IMDb score, and Facebook likes of a movie. Like:

  {
  "budget": 180000000,
  "imdb_score": 8.5,
  "facebook_likes": 356789
  }

• The API returns a JSON response with the predicted gross income of the movie. Like:

  {
  "gross_prediction": 500000.98
  }