An AI-powered MVP that maps schools, teachers, manpower gaps, and student performance across all local governments in Kebbi State, aligned to Nigeria's new NERDC curriculum.
# EduMap Kebbi — AI-Powered Education Intelligence Platform
> 3MTT Knowledge Showcase · Special Edition 2026
> NextGen Cohort · AI and Machine Learning Track
> Pillar 2: Education (FEED Framework)
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## Live Demo
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kebbi-insight-ai.lovable.app
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## The Problem
Kebbi State's Ministry of Education has no centralised view of teacher distribution,
SEN (Special Educational Needs) coverage, or 2025 curriculum reform readiness
across its 21 Local Government Areas.
The data used in the app is simulated to show the how the app unifies data, identifies gaps, provides insight and possible solutions based on the data provided.
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## What EduMap Kebbi Does
It allows stakeholders to have a detailed and informed overview of state of education in the kebbi state.
These stakeholders are:
1. State Ministry of Education officials who need state‑wide visibility to set recruitment priorities, budget allocations, and reform rollout plans
2. LGA Education Secretaries who require LGA‑specific dashboards to track teacher deployment and school readiness within their jurisdiction
3. School Administrators who can view their school’s data, understand curriculum compliance gaps, and flag resource needs to supervisors
It has an interactive, browser-based education intelligence dashboard with 6 modules:
| Module | What it shows |
|---|---|
| Overview | State-wide KPIs — teachers, students, SEN metrics, gap severity |
| Teacher Density | Heatmap of all 21 LGAs by teachers per 1,000 students |
| Teacher Registry | Searchable, filterable registry by LGA, subject, TRCN status, SEN cert |
| School Directory | All schools by type (Mainstream / SEN / Inclusive), location, LGA |
| Academic Health | 2025 curriculum reform readiness grid + WAEC/NECO performance trends |
| AI Predictions | Teacher shortage forecasts to 2026 + AI intervention recommendations |
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## Impact
Enables data‑driven teacher recruitment by highlighting the most critical LGAs for immediate intervention
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