Explore how NCAI teams frame a challenge, build an AI solution, and measure the difference it can make for people, industry, and Pakistan.
Challenge-led
Every project begins with a real need
Applied AI
Research translated into useful systems
Measurable impact
Outcomes that are clear and human
Project portfolio
AI based automation
The challenge
Manual sign-in sheets, ID cards, and fingerprint scanners are slow and easy to lose, forget, or fake.
Our approach
A camera recognizes each face in real time and checks it against a stored roll-number database.
Attendance is logged instantly in a companion app.
AI based automation
The challenge
Facilities need accurate footfall information without stationing someone at the door.
Our approach
An IP camera continuously counts people and labels recognized individuals by name and team.
Live counts by gender, employee status, and guest status update as people pass through.
AI based automation
The challenge
A morning check-in does not prove someone remained at their assigned seat throughout a shift.
Our approach
Face recognition and eye-blink liveness checks run random spot verifications at each node.
A live Attendance Integrity Score compares verified presence with reported hours.
AI based automation
The challenge
Handwritten gate registers are slow and prone to error.
Our approach
A gate camera reads number plates and classifies vehicles as they approach.
Entries and exits log automatically; fleet vehicles can trigger alerts. The system is deployed at UET Lahore.
Legal AI
The challenge
Legal research, drafting, and case review take up time needed for casework.
Our approach
A purpose-built legal assistant combines judgment search, drafting, law agents, and voice or text input.
A personalized workspace helps legal professionals search, draft, and summarize without switching tools.
Education AI
The challenge
Board and entry-test students need answers they can trust and that remain aligned to the syllabus.
Our approach
A bilingual tutor grounds answers in official textbook content and reads handwritten notes through OCR.
Step-by-step explanations target 95%+ accuracy and sub-three-second responses, with practice and teacher tools.
How we present a project
A strong portfolio entry is not just a title. It lets visitors quickly see the purpose, the AI work, the people involved, and why the result matters.
Start a collaborationState the challenge and the community or sector it serves.
Explain the model, data, or system in simple, useful language.
Credit the lab, researchers, and collaborating organizations.
Share milestones, outcomes, or the next step in the work.
Partner with NCAI
Bring your research question, public-service need, or industry opportunity to our AI community.
Talk to our team