RateMe

• Tech Stack: Python, HTML, CSS, Javascript, AWS(EC2)
• Github URL: Project Link

RateMe is an advanced app rating prediction platform using a Light Gradient Boosting Machine (LGBM) model to forecast Android app ratings with high accuracy. It integrates 14 key features like category, ad support, and app size, targeting developers and aspiring creators to optimize app success before market launch.

Our machine learning model, powered by Light Gradient Boosting Machine (LGBM), boasts an impressive Root Mean Square Error (RMSE) of 0.19. The rating scale is from 0 to 5, providing a precise estimation of your app's potential user rating. The model is trained on the 14 carefully selected features mentioned above, ensuring a comprehensive analysis of your app's attributes.