Usama Sarwar
2024 - Present
EducationEnterprise
AI Counsellor Logo

AI Counsellor

Autonomous Agentic Admissions Guidance & Course Matching for International Students

My Role:Lead Agentic AI Architect
Industry:Education
Technologies:
Flutter icon
Flutter
Dart icon
Dart
Firebase icon
Firebase
Google Cloud icon
Google Cloud
The Problem & Market Challenge

Information Overload in Global University Selection

Navigating entry requirements, tuition fees, IELTS cutoffs, and post-study work visa policies across hundreds of global universities is an overwhelming challenge for prospective international students. Human counselors spend hours answering repetitive basic qualification questions.

01

Thousands of dynamic university admission criteria changing every academic semester.

02

Students need 24/7 immediate feedback tailored specifically to their GPA, budget, and desired destination.

03

AI responses must be factual, hallucination-free, and aligned with immigration compliance.

04

Manual qualification evaluation creates severe bottlenecks during peak admission application deadlines.

The Engineering Solution

RAG-Powered Intelligent Admissions Reasoning Agent

Built an autonomous AI admissions counseling agent. Leveraging Retrieval-Augmented Generation (RAG) over verified university databases, the agent interviews students, evaluates transcripts, and suggests high-acceptance match courses.

Key Architectural Decisions & Engineering Highlights

  • Engineered a multi-step conversational agent pipeline using Google Cloud Vertex AI and Gemini APIs.
  • Implemented strict RAG embeddings over verified course catalogs and visa compliance criteria.
  • Created an interactive conversational UI in Flutter Web with instant PDF summary exports for students.
  • Built automatic student lead handoff routing structured profiles directly into human counselor CRM workflows.
Core Features & Capabilities

Engineered for Speed, Reliability & User Delight

Intelligent Profile Assessment

Conversational intake evaluating academic background, language scores, and financial preferences.

RAG Course Matching

Retrieval-backed recommendation engine ranking target, reach, and safe university options.

Automated Eligibility Checks

Instant verification of prerequisite subjects, GPA conversions, and English test requirements.

Counselor Hand-off Protocol

Seamless transfer of student profile and AI assessment directly into the enterprise CRM for human follow-up.

Measurable Impact & Results

Delivering Tangible Outcomes

Dramatically reduced the counseling discovery cycle from days to seconds, allowing human education counselors to focus on high-value visa filings and interview coaching.

< 2sResponse TimeInstant profile evaluation and university shortlist
5xCounseling CapacityIncrease in qualified student leads processed monthly
98%Recommendation AccuracyVerified against human counselor evaluations
15,000+Student EvaluationsComprehensive personalized admission assessments generated

Engineering Insights & Key Takeaways

  • Combining RAG with deterministic eligibility filters eliminates hallucinations in educational advising.
  • Autonomous preliminary intake frees human advisors to dedicate more time to high-stakes visa prep.
  • Immediate PDF summary downloads provide students with high-value actionable guidance.
  • Continuous feedback loops between human counselors and agent outputs refine matching precision over time.

Experience the Project Live

Explore the production deployment and live applications

More Case Studies

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