AI-DRIVEN DROPOUT PREVENTION SYSTEM

The AI-Driven Dropout Prevention System is designed to help educational institutions identify students at risk of dropping out and intervene proactively. The system collects academic, attendance, behavioral, and engagement data from students and applies AI-based predictive analytics to identify early warning signs of potential dropout.

Once high-risk students are detected, the system can generate alerts for teachers, counselors, or parents, along with personalized recommendations for support, such as tutoring, counseling, or mentoring programs. By leveraging data-driven insights, this system helps schools improve student retention, ensure timely intervention, and provide targeted support to vulnerable learners.

For a prototype/demo version, AI can be implemented using lightweight machine learning models on historical or simulated student data, demonstrating predictive capability and intervention suggestions without full-scale deployment.