Guided demo · Healthcare50 graduates → 20 facilities by specialization & disease burden · sample data, fully interactive.Launch the app to solve your own →
Intellign AI
Active problemNYSC Healthcare Deployment50 graduates · 20 facilities3 goalsReady to optimize
I need to deploy NYSC healthcare graduates to primary health facilities across Nigeria. Match their medical specializations to facility needs and prioritise facilities with critical disease burden.
09:41
Got it — here's what I understand:

graduates → facilities
Objectives: Match medical specialization to facility needs · Prioritise facilities with critical disease burden · Respect facility personnel capacity

Pick a data source and confirm the goals you care about:
Generate a sample for meI'll upload my dataMatch medical specialization to facility needsPrioritise facilities with critical disease burden
09:41
Generate a sample for me · Match medical specialization to facility needs · Prioritise facilities with critical disease burden
09:42
Generating a realistic sample now — 50 graduates and 20 facilities.

idnamespecializationqualification
HW-0042Adaeze N.ICU / EmergencyRN (BSc)
HW-0118Yusuf I.PediatricsRN
HW-0067Chiamaka O.Maternal healthMidwife

I've compiled your goals (tune weights in the Goals tab):

Match medical specialization to facility needs. · 45%
Prioritise facilities with critical disease burden. · 35%
Respect facility personnel capacity. · 20%

Shall I run the optimization now?
generate_sample_dataset
09:42
Yes, run it.
09:43
Optimization dispatched via the Genetic algorithm — the canvas shows live progress. Every assignment comes back with a per-decision rationale you can review, approve, or modify.
optimization_started
09:43