AI Insights & Predictive Analytics
Actionable intelligence to improve student outcomes and institutional performance.
Predicted Success Rate (Overall)
Sample78.5%
+ 4.3% vs last month
Support Review Groups
Sample12
+ 2 vs last month
Attendance (Avg.)
Sample92.6%
+ 2.1% vs last month
Fee Collection (YTD)
SampleRs 24.7 Cr
+ 16.4% vs last year
Interventions Impacted
Sample284
+ 35.8% vs last month
Support Priority Heatmap
| Program | Very Low | Low | Medium | High | Very High |
|---|---|---|---|---|---|
| B.Tech Sem 1 | 128 | 95 | 68 | 42 | 18 |
| B.Tech Sem 2 | 110 | 88 | 72 | 56 | 24 |
| B.Tech Sem 3 | 96 | 76 | 65 | 50 | 22 |
| B.Tech Sem 4 | 102 | 64 | 59 | 41 | 16 |
| MBA Sem 1 | 80 | 55 | 48 | 34 | 13 |
| MBA Sem 2 | 72 | 42 | 36 | 23 | 9 |
Attendance Trends
Fee Collection Forecast
Forecasted Collection (Year End)
Rs 32.8 Cr +12.6%
Admissions dip intelligence
Advisory-only branch/course explanations
Explainability
Civil Engineering applications are down 28% MoM
- Likely reason factors
- Fewer campus visits, Low counselor follow-up completion, Weak campaign source quality, Document submission delays
- Evidence
- Referral and campus-visit sources declined while document-pending count increased.
- Confidence
- High
- Recommended draft action
- Draft a 7-day counselor follow-up campaign and schedule Civil department campus visit sessions.
Advisory only. No admission decision, message send, fee action, or autonomous workflow is enabled.
Teacher Workload Insights
Communication Sentiment
Intervention Impact Overview
Students Impacted
284
Academic Support
Counseling
Mentorship
AI Recommendations Timeline
10:30 AM
Support Priority Change
B.Tech Sem 2 support priority increased based on aggregate signals.
11:15 AM
Advisory Suggested
Academic support review recommended for a cohort group.
01:20 PM
Attendance Drop
CSE Sem 4 attendance fell below 85%.
03:05 PM
Fee Reminder Draft
Reminder copy is draft-only and requires finance approval.
04:45 PM
Positive Feedback
92% satisfaction in recent communications.