Student Social Media Addiction Predictor - Machine Learning Project

We built a Random Forest

classifier to predict

social media addiction levels in students using data from 705 students.

The results were super interesting, we could actually predict whether someone falls into Low, Medium, or High addiction categories based on their digital habits!

Social media addiction among students is becoming a real problem that affects academic performance and mental health. The most interesting discoveries were the strong correlations between daily usage hours, sleep patterns, and mental health scores.