The objective of this project is to develop an AI-powered software product that analyzes user behavior and recommends feature optimizations to enhance engagement, usability, and business growth.
Study AI-based recommendation systems.
Identify product usage metrics for analysis.
Design data collection mechanisms for user behavior.
Implement data preprocessing workflows.
Develop machine learning models for feature recommendations.
Integrate predictive insights into product dashboards.
Test recommendation accuracy using sample datasets.
Evaluate impact on user engagement metrics.
Optimize model performance and retraining strategies.
Document AI-driven product enhancement strategies.
Suggest scalability improvements for large user bases.
