Student Performance Analysis

• 

  Student Performance Analysis Dashboard

The "Student Performance Analysis" project focuses on examining and evaluating the academic performance of students using data analytics and visualization techniques. The main objective is to identify key factors that influence student success—such as attendance, study habits, socioeconomic background, and prior academic results—and use this information to predict and improve future outcomes.

By collecting and analyzing data from various sources, the system helps teachers and administrators make informed decisions, detect students who may need extra support, and design personalized learning strategies. The project aims to promote data-driven education, enhance academic achievement, and ensure that every student reaches their full potential.

Key Features:

• Performance tracking based on multiple parameters (grades, attendance, activities, etc.)
• Data visualization dashboards for easy interpretation
• Predictive analysis using machine learning models
• Identification of at-risk students for early intervention
• Reports and recommendations for teachers and administrators

Built With

• colab
• github
• machine-learning
• powerbi
• python