01 / The brief

The question

Build a recommendation system that helps users discover relevant movies from a larger catalog.

This GitHub project builds a movie recommendation system. It is relevant because recommendation systems are a common AI use case in streaming, ecommerce, and personalization products.

Results & observations

  • Created a working movie recommendation project that demonstrates personalization and recommendation system thinking.
  • The project shows applied machine learning and data product skills.

Challenges

  • Preparing movie metadata
  • Choosing useful similarity features
  • Returning relevant recommendations
  • Making recommendation results understandable

Approach

  1. Prepared movie data for recommendation analysis.
  2. Processed features used for similarity or recommendation logic.
  3. Built a recommendation workflow.
  4. Returned relevant movie suggestions based on the selected input.
Implementation details

Data Preparation

Prepared movie data for recommendation analysis.

Feature Processing

Processed movie features for similarity comparison.

Recommendation Logic

Built logic to return relevant movie suggestions.

Testing

Tested recommendations using selected inputs.

Result Delivery

Presented movie suggestions in a simple output.

Explore the report

Select a screenshot for a larger view.