POC v1.0
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AI-Powered Transfer Evaluation

Map Transfer Credits
Intelligently.

Upload a student transcript and receive a full articulation report — course extraction, semantic mapping, and eligibility ruling — in under 60 seconds.

UCLA
→
Cal Poly Pomona
1
Credit Gate
≥30 units
2
OCR Extract
3
Semantic Map
4
Rules Engine
5
Report
📄
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Phase 1 · Active
Credit Eligibility Gate
First check: student must have 30+ credits to proceed. Under 30 = Not Eligible. This runs before any course mapping.
Phase 2 · Pillars I–II
Extraction & Mapping
AI-powered OCR extracts course data, then semantic engine maps UCLA courses to Cal Poly Pomona equivalents with confidence scores.
Phase 3 · Pillar III
Rules & Report
Grade validation (min C), unit conversion, automated flags, and full articulation report generation.
Analyzing Transcript
Please wait while the AI engine processes the submission
Initializing…
📤
Parsing Transcript
OCR & structured data extraction
🎯
Phase 1 · Credit Eligibility Gate
Checking total credits ≥ 30 threshold
🔍
Catalog Analysis
Reading UCLA & Cal Poly Pomona catalogs
🔗
Semantic Course Mapping
Computing learning objective similarity
📋
Applying Transfer Rules
Grade checks, unit conversion, eligibility
⏳
Phase 1 — Credit Eligibility Gate
Checking Credits…
Verifying the student meets the minimum credit threshold before proceeding to course evaluation.
Total Credits Earned —
0 — 100+
Rule Applied
Students must have ≥ 30 credits to qualify for transfer admission evaluation. This is Phase 1 of the system — the initial eligibility gate before any course-level comparison begins.
Example · Pass
32 credits → ✓ Eligible
Example · Fail
22 credits → ✗ Not Eligible
✦
AI Evaluation Summary
Generating analysis…
Course Mapping
Source Course (UCLA) Mapped Equivalent (Cal Poly Pomona) Grade Units Decision
Flags & Alerts