Key Features

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For Students

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1. One-Time Verification

Problem Solved: Submitting same documents 4.2 times Feature: DigiLocker integration fetches all credentials directly from issuing authorities. Upload once (or never), use everywhere. Impact: Saves 15-30 days in verification delays

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2. AI Admission Predictor

What It Does: Machine learning model trained on 5 years of cutoff data predicts admission probability Example: “You have 82% chance at NIT Trichy (Mechanical), 95% at NIT Warangal (Civil)” Value: Students make data-driven choices instead of guessing

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3. Smart Choice Filling Assistant

Problem Solved: 78% of students make illogical choices Feature: AI analyzes preference list and warns about problematic ordering Example Warning: “You’ve placed a Rank 500 college above a Rank 200 college. This reduces your optimal outcome. Reorder?“

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4. Real-Time Status Tracking

Feature: Live dashboard showing:

• Application status
• Document verification progress
• Allotment result
• Payment status
• Seat confirmation

Updates: Under 2-minute latency for all state changes

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5. Multi-Language Support

Availability: Hindi, English, and 10 regional languages Impact: Increases accessibility for non-English speaking students by 40%

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6. Voice Assistant (Accessibility Feature)

For: Visually impaired students and those with reading difficulties Capability: Navigate entire application process via voice commands Compliance: WCAG 2.1 AA accessibility standards

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For Institutions

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1. Automated Verification Queue

Problem Solved: Manual document checking taking 4,500 staff hours per cycle Feature: AI pre-verifies documents against DigiLocker sources. Human verifiers only review flagged cases. Impact: 70% reduction in verification workload

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2. Dynamic Seat Matrix Management

Feature: Real-time dashboard showing:

• Total seats vs. filled seats
• Category-wise breakup
• Reservation compliance status
• Projected final allotment

Benefit: Institutions can adjust strategies mid-cycle if needed

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3. Automated Compliance Reporting

Problem Solved: Manual preparation of UGC/AICTE compliance reports Feature: One-click report generation with all required data:

• Reservation adherence
• Admission statistics
• Fee collection summary
• Category-wise distribution

Impact: Saves 80+ hours per reporting cycle

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4. Fraud Detection System

How It Works: AI flags suspicious applications:

• Duplicate documents across students
• Forged marksheets (OCR + cross-verification)
• Identity mismatches
• Geographic impossibilities

Accuracy: 98.7% fraud detection rate in pilot programs

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5. Grievance Management Portal

Features:

• Categorized ticket system
• Auto-response for common queries
• SLA tracking
• Escalation workflows

Impact: 67% of grievances resolved without human intervention

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For Government & Regulators

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1. Real-Time Monitoring Dashboard

Visibility:

• State-wise admission progress
• Institution-wise seat utilization
• Category-wise enrollment trends
• Payment collection status

Use Case: Identify institutions with persistent seat wastage for intervention

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2. Policy Simulation Engine

What It Does: Test policy changes before implementation Example: “If we increase EWS quota to 15%, how does it affect General category cutoffs?” Value: Evidence-based policymaking

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3. Audit Trail & Accountability

Logged Data:

• Every seat allotment decision
• Every document verification action
• Every payment transaction
• Every preference change by student

Immutable: Append-only log, cannot be modified retroactively Legal Protection: Complete evidence if admission challenged in court

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4. Reservation Compliance Tracker

Real-Time Monitoring:

• Are reserved seats being filled?
• Is de-reservation happening correctly?
• Are horizontal quotas being met?

Alerts: Auto-flag institutions violating reservation policies

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5. Financial Reconciliation

Feature: Automated matching of:

• Student fee payments
• Institutional fee confirmations
• Bank settlements

Impact: Zero manual reconciliation, instant discrepancy detection

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Technical Features

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1. Gale-Shapley Stable Matching Algorithm

Guarantee: Every student receives the best possible seat they could get in ANY stable matching Strategy-Proof: Lying about preferences never helps Efficiency: Single-round resolution instead of 3-4 counselling rounds Learn More

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2. India Stack Integration

Components Used:

• APAAR ID: Single student identity
• DigiLocker: Document verification
• UPI: Payment settlement
• ABC (Academic Bank of Credits): Credit allocation

Benefit: No need to build identity/verification/payment infrastructure from scratch

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3. Blockchain-Inspired Audit System

Not Full Blockchain: Centralized database with blockchain properties Properties:

• Immutable logs
• Cryptographic hashing of each transaction
• Timestamp + digital signature

Why Not Full Blockchain: Speed and cost. Government-controlled infrastructure doesn’t need decentralization.

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4. AI-Powered Eligibility Mapping

Challenge: Universities have complex, text-based eligibility criteria Solution: Large Language Model (LLM) reads prospectus PDFs and extracts rules Example:

• Input: “Candidates must have 60% in Physics, Chemistry, and Mathematics”
• Output: Structured rule → Student with 58% auto-flagged as ineligible

Accuracy: 94% in extracting complex criteria

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5. Scalable Cloud Architecture

Design:

• Microservices architecture
• Auto-scaling based on load
• Multi-region deployment for low latency
• CDN for static content

Tested For: 10 lakh concurrent users (10× JEE Main peak) Uptime SLA: 99.99% (less than 1 hour downtime per year)

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Security Features

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1. Multi-Factor Authentication (MFA)

• SMS OTP for login
• Optional Aadhaar-based biometric authentication
• Session timeout after 30 minutes of inactivity

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2. Role-Based Access Control (RBAC)

Roles:

• Student
• Institution Admin
• Verifier
• Finance Officer
• Counselling Body Admin
• Super Admin

Principle: Each role sees only what they need. No excess access.

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3. Data Encryption

• In Transit: TLS 1.3
• At Rest: AES-256
• Backups: Encrypted with separate keys

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4. DDoS Protection

• Cloudflare enterprise plan
• Rate limiting per IP
• CAPTCHA for suspicious traffic

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5. DPDP Act 2023 Compliance

• Privacy by design
• Consent management
• Data minimization
• Right to erasure
• Data portability

Learn More

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Innovation Highlights

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Comparison with Current Systems

Next: Technology Deep Dive

Explore the technical architecture