AI STUDY HABIT ANALYZER

Abstract

The AI Study Habit Analyzer is an intelligent webbased application designed to help students track, analyze, and improve their study habits using artificial intelligence and data analysis techniques. Many students face problems such as poor time management, lack of consistency, excessive phone usage, and ineffective study routines. Traditional study tracking systems mainly focus on task management and do not provide detailed analysis or personalized guidance for improving productivity. The proposed system collects user data such as study hours, sleep duration, break time, mood, and phone usage to evaluate student productivity. The application processes this data using backend logic and generates a productivity score that reflects the overall performance of the user. By analyzing multiple behavioral factors, the system provides meaningful insights into study patterns and learning efficiency. The project also integrates an AI-based suggestion module that generates personalized recommendations for students. These suggestions help users improve focus, reduce distractions, maintain better schedules, and enhance overall academic performance.