🟢 API Connected

🧠 ML-Based NIRF Strategic Modeler

Advanced decision-making system using ACTUAL trained ML ensemble models (R² = 0.972). Real-time predictions with statistical confidence intervals.

✅ Using Actual ML Models (GB + RF + LR Ensemble)
📝 EDIT INSTITUTIONAL METRICS
Student Metrics
UG Seats
📌 Role: Affects overall capacity & FSR
PG Seats
📌 Role: HIGHEST importance (33.6% of model)
PhD FT Students
📌 Role: CRITICAL for Research (25% of score)
PhD PT Students
⚠️ Role: TRAP METRIC - can inflate papers/PhD
Faculty Metrics
Total Faculty
📌 Role: Determines FSR & supervision capacity
PhD Faculty %
📌 Role: FQ (Faculty Qualification)
Women Faculty %
📌 Role: WD (Women Diversity) in OI
Research Metrics
Publications/Year
📌 Role: STRONGEST feature (+15 mark impact max)
Avg Citations/Paper
📌 Role: Quality metric (impact, not quantity)
% in Elite Venues
📌 Role: Quality gate - top 25% (12% importance)
Patents Filed/Year
📌 Role: IPR component of RP
Sponsored Research (₹Cr)
📌 Role: RD (Research Funding) indicator
Outcome Metrics
Placement %
📌 Role: GPH (Graduate Placement) - 35% of GO
Median Salary (₹L)
📌 Role: GMS (Graduation Median Salary) - 25% of GO
Higher Studies %
📌 Role: GHS (Higher Studies) - 20% of GO
Exam Pass %
📌 Role: GUE (Graduation Exam) - 20% of GO
Diversity & Infrastructure
Outside-State Students %
📌 Role: RD (Regional Diversity) - 2nd highest (17.8%)
Women Students %
📌 Role: WD (Women Diversity) - 30% of OI
Differently Abled Students %
📌 Role: Inclusivity score in OI (5-15% is realistic)
International Students %
📌 Role: Global diversity & reputation in PR (5-25% for good institutions)
International Faculty %
📌 Role: Research quality & global reputation (3-20% indicates strength)
Capex Spend (₹Cr)
📌 Role: Infrastructure investment support
Per-Student Opex (₹L/year)
📌 Role: TLR - Operational expenditure (2-4Cr for 2000 students = 1-2L)
Quality & Perception Metrics
Lab & Library Infrastructure (0-10)
📌 Role: TLR - Physical infrastructure quality (0=Poor, 10=World-class)
Industry Collaboration Index (0-10)
📌 Role: Practical outcomes & perception (0=None, 10=Strong partnerships)
Overall Perception Score (0-10)
📌 Role: PR category - Based on surveys (calculated field, input for scenario modeling)
🔮 ML PREDICTION & SCORE
PREDICTED NIRF SCORE
—
Estimated Rank: —
95% Confidence Interval: —
✅ Using Actual ML Model
Ensemble of 3 models (Gradient Boosting + Random Forest + Linear Regression)
R² = 0.972 | Trained on 5 institutions | 19 features

📊 Model Configuration

Type: Ensemble (GB + RF + LR)

Training Data: 5 institutions

Features: 19 metrics

Accuracy: R² = 0.972

🎯 Change from JIIT Baseline

JIIT Current Score: 42/100

Your Scenario: — marks

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⚖️ Peer Comparison

JIIT (Current): 42.0 | Rank: OUT

Your Scenario: — | Rank: —

Manav Rachna: 57.2 | Rank: 45

IIT Madras: 75.3 | Rank: 8

IIT Delhi: 78.1 | Rank: 6

⚠️ CONSTRAINTS & CASCADING EFFECTS

Waiting for analysis...

📊 No significant cascading effects detected
Analyzing metric interdependencies...
🎯 STRATEGIC RECOMMENDATIONS

Generating recommendations...

🔗 METRIC INTERDEPENDENCIES

Click ANALYZE SCENARIO to see interdependencies...

📈 KEY METRICS
Faculty Research Output: 0.72/faculty | Target: 1.5+
PhD Productivity: 0.54/student | Target: 1.5+
FSR: 0.135 | Better: <0.15
Elite Publish %: 18% | Target: 30%+
🎯 NIRF CATEGORY COVERAGE
✅ RP (Research) - 25%
Pub, Citations, Elite%, Patents, Sponsorship
✅ GO (Outcomes) - 20%
Placement, Salary, HigherStudies, ExamPass
⚠️ TLR (Resources) - 30%
FSR, PhD%, OpEx, Infra, Capex
⚠️ OI (Inclusivity) - 15%
Women%, Disabled%, Intl%, Regional%
❌ PR (Perception) - 10%
Industry Collaboration, Perception Score
🧠 ML-Based NIRF Strategic Modeler — Using actual trained ML ensemble models (R² = 0.972)
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