Generate comprehensive reports, data visualization with AI-powered insights
👥
1,247
Total Students
💰
₹45.2L
Fee Collection
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78%
Hostel Occupancy
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12,450
Library Books
👨🏫
156
Active Faculty
📝
85.2%
Average Performance
🤖 AI-Powered Insights
Fee Collection Prediction: Based on historical trends, we predict 92% collection rate by month-end. Consider targeted reminders for 47 pending payments.
Performance Analytics: Computer Science department shows 12% improvement in average scores. Engineering Graphics requires additional support resources.
Hostel Optimization: Current occupancy allows for 15% increase in admissions. Rooms 201-205 have highest maintenance requests - schedule preventive maintenance.
Library Usage Pattern: Peak usage detected during 2-4 PM and 7-9 PM. Consider extending staff hours and digital resource access during these periods.