Project information

• Project date: Sept 2019 - Nov 2019
• Tech used: Python, Scikit-learn

FitSense is a tool I built with two other people to predict how crowded my university gym would be at any given time using ML prediction algorithms and techniques such as gradient boosting. We were able to produce a random forest model with an accuracy of 91.42%.