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Good practice Imported

University of the Punjab's AI Admission Assistant Chatbot

Pakistan · Lahore · See the Pakistan profile · See the Lahore profile

Evidence: Descriptive / self-reported Top 98% 13/100 · Ask Evidence Copilot about this practice

Pakistan's oldest public university, the University of the Punjab, launched an in-house, trilingual (English/Urdu/Roman Urdu) AI chatbot in June 2026 to guide prospective students on eligibility, admission tests, quotas and scholarships — the first such tool from a Pakistani publ

Details

Maturity
Pilot
Promoter
University of the Punjab
Period
Launched June 2026
Keywords
admissions, chatbot, higher education, multilingual support, student guidance

Context

On 3 June 2026, the University of the Punjab in Lahore — Pakistan's oldest and largest public university — inaugurated an AI-powered admission assistant chatbot, built in-house by its Faculty of Computing and Information Technology using internal resources, led by Vice-Chancellor Prof. Dr. Muhammad Ali.

Activities

The chatbot operates in three languages — English, Urdu and Roman Urdu — answering questions on programme eligibility, admission-test logistics, hostel facilities, scholarships and financial aid, and quota-based admission schemes, and pushes updates on official announcements. University officials and the state Associated Press of Pakistan describe it as the first such public-facing chatbot launched by a public-sector university in Pakistan.

Conclusions

As of publication, this is a brand-new deployment: no usage statistics, accuracy figures, satisfaction data, or any outcome evaluation (e.g. effect on application volumes, applicant satisfaction, or admissions-office workload) have been published by the university or independent researchers.

Implementation
Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
University of the Punjab Faculty of Computing and Information Technology (in-house build team), Vice-Chancellor Prof. Dr. Muhammad Ali (launch sponsor), Admission Committee chairman Prof. Dr. Mahmood Saleem and Dean of Computing Prof. Dr. Shahzad Sarwar (briefing leads)

Conditions for success

  • Built entirely in-house using internal university resources and technical faculty expertise
  • Trilingual design (English/Urdu/Roman Urdu) matching the linguistic reality of Pakistani applicants
  • Vice-Chancellor directive to expand the tool to other departments after initial launch

Common failure modes

  • No usage statistics, accuracy figures, satisfaction data, or outcome evaluation published as of source reporting
  • Brand-new deployment with no track record of admissions-office workload or applicant-satisfaction effects

Where it fits

Governance type
single public university (in-house IT build)
Scale
single institution
Income level
lower-middle-income

Commonly funded by

Own resources / municipal budget

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Data sources

Where this practice's information was retrieved from, and when.

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