Chatbots

EduMentor: University Admissions Bot

Multilingual FAQ, application guidance, and document checklists for prospective students.

Client

Northgate University

Industry

Education

Duration

5 weeks

Biggest result

80%

queries auto-resolved

Overview

Multilingual FAQ, application guidance, and document checklists for prospective students.

The Challenge

Northgate University's admissions office was overwhelmed by repetitive questions from prospective students across the globe — deadlines, requirements, tuition, and application steps. Their small team couldn't respond fast enough, especially across five languages and multiple time zones.

Our Solution

We developed EduMentor, a multilingual admissions chatbot using RAG (Retrieval-Augmented Generation) over the university's admissions documentation. The bot answers questions in 5 languages, guides students through the application process step by step, and provides personalized document checklists based on the student's program and country. It was deployed on the university website and WhatsApp.

See it in action

Watch a simulated conversation showing how the bot handles real customer interactions.

AI
EduMentorOnline

Before vs After

Drag the slider to compare the old process with the new one.

Before

500/day

Manual responses

After

100/day

Manual responses

Manual responses

Before

500/day

→

After

100/day

Languages covered

Before

2 (staff)

→

After

5 (AI)

Application starts

Before

1,200/yr

→

After

2,400/yr

Results

0%

Queries resolved automatically

0

Languages supported

0x

Applications started

Improvement visualization

Queries resolved automatically80%
Languages supported5
Applications started2x

Key Features

  • Multilingual support across 5 languages with auto-detection
  • RAG-powered answers from admissions documentation
  • Step-by-step application guidance and timelines
  • Personalized document checklists per program and country
  • WhatsApp integration for mobile-first student access

Tech Stack

RAGPython/FastAPISupabaseWhatsApp API

Project Timeline

1

Discover

5 days

Analyzed admissions inquiry patterns, language distribution, and documentation.

2

Build

25 days

Built RAG pipeline over admissions docs, trained 5-language NLU, WhatsApp integration.

3

Launch

3 days

Deployed on university website and WhatsApp, tested with student ambassadors.

4

Optimize

Ongoing

Update knowledge base with new admissions cycles, refine multilingual accuracy.

"Our admissions team was drowning in emails. Now the bot handles 80% of inquiries in 5 languages, and our staff focuses on the complex cases that matter."
D

Dr. Amara Okafor

Admissions Director, Northgate University

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