AI-powered predictions for your child's academic success.
Nigerian Gen Z parents cannot access real-time insights into their children's academic performance via mobile apps, forcing reliance on infrequent traditional school open days.
ScholarSight uses AI to analyze inputted grades, predict risks, and suggest actions for Nigerian parents. Parents enter data from reports or teachers; AI generates forecasts like 'Math grade drop risk'. Delivers insights via app with actionable tips tailored to Nigerian curriculum.
Nigerian Gen Z parents with school-age children
Predictive AI insights with Nigeria-specific benchmarks and interventions.
professional
Predictive charts and risk scores
Manual or CSV upload from schools
Notifications for predicted drops
Personalized study tips
Vs anon Nigerian peers
Per-subject forecasts
Local tutor suggestions
Weekly AI summaries
Audio explanations of predictions
What-if scenario tester
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| user_id | uuid | No |
| school_type | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| child_id | uuid | No |
| subject | text | No |
| score | int | No |
| term | text | No |
| date | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| child_id | uuid | No |
| risk_score | int | No |
| recommendations | text | Yes |
| generated_at | timestamp | No |
Relationships:
/api/grades/uploadBulk grade import
/api/predict/:childIdRun AI prediction
/api/dashboard/:childIdLatest insights
/api/benchmarksPeer data
No alerts
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 120 | 2.5% | $105 | $1,260 |
| Month 6 | 900 | 6% | $1,890 | $22,680 |
Enter grades, get future forecasts and fix-it plans.
Run LinkedIn/IG ads targeting 'Nigerian parents education' ($50 budget), offer free Elite trial. Email WAEC prep groups and Gen Z parent influencers for reviews. Convert via personalized demo calls.
Learning content
No personal prediction
Grade-based AI forecasts
Adaptive learning
Enterprise only, no parents
Parent-focused predictions
Anon data moat improving AI accuracy with Nigeria-specific models
GenAI accessible via Vercel/OpenAI, rising exam pressure in Nigeria
AI accuracy issues
Human-curated benchmarks + feedback loops
Data sparsity early
Seed with public datasets
OpenAI costs
Caching + tiered usage
Success: 80% find useful
Success: 50% share positive feedback
Success: 20% signup rate
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