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Life prediction using machine learning

Primary supervisor

Levin Kuhlmann

Life is exciting and challenging at the same time. Some people have it easy and some have it hard but we all need advice that can help us to live rich, fulfilling lives. By drawing on psychological, sociological, economic and web data this project will apply machine learning to build a recommendation engine that can provide life advice and predictions to individuals based on their current life situation and past experiences. The goal is to help people find ways to improve the quality of their lives through incremental adjustments suggested by the recommendation engine.

Required knowledge

Any or all of the following: Statistics, Machine Learning, Deep Learning, Multivariate Modelling. As well as an interest in personal development, psychology, sociology, economics or something else important in life.

Learn more about minimum entry requirements.