AI-Based Virtual Personal Stylist: A Multimodal Approach to Personalized Fashion Recommendation

An AI-based virtual personal stylist that uses text and images to recommend fashion that suits each person.

An AI-based virtual personal stylist that uses text and images to recommend fashion that suits each person. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want hands-on experience of the whole machine learning workflow: data collection and cleaning, feature engineering, model training and tuning, evaluation and presenting results.

The main parts are personalised recommendations ranked by relevance, fusion of more than one type of input, data preparation and exploration, model training and comparison of algorithms, and evaluation with standard metrics. The reference build uses Python, scikit-learn, Pandas, and Flask, with a clear project structure, setup instructions and sample data so that it can be run and extended.