VigilGuard.com

Voice-powered early intervention to stop children reaching Conakry streets

Score: 7.7/10GuineaMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Children as young as 5-12 years old are surviving on the streets of Conakry at night, resulting in traumatic arrests by children's court patrols

Solution

VigilGuard gives teachers, community health workers and religious leaders simple tools to track school attendance and flag at-risk children. The platform automatically delivers voice-based parenting lessons in French and Susu to registered families and connects them to local mentors. Early alerts prevent children from disappearing onto the streets at night.

Target Audience

Impoverished Guinean families and vulnerable children aged 5-12 living on urban streets in Conakry

Differentiator

Primarily voice and USSD driven so even completely illiterate caregivers can participate. Focuses on root causes (parenting skills, early absence detection) rather than only rescue.

Brand Voice

empowering

Features

Voice Lesson Delivery

must-have50h

Automated IVR calls delivering parenting and financial literacy content in local languages

Attendance Tracking

must-have40h

Schools and madrasas mark daily attendance via simple app or USSD with automatic alerts

Risk Scoring Dashboard

must-have35h

Simple algorithm flags children with multiple absences or other risk factors

Community Mentor Matching

must-have45h

Matches at-risk children with local mentors for weekly check-ins

Parent Voice Feedback

must-have30h

Families can leave voice messages responding to lessons or reporting concerns

Lesson Content CMS

nice-to-have35h

NGO admins can upload new voice lessons easily

Neighborhood Leader Portal

nice-to-have30h

Religious and community leaders get overview of children in their area

Impact Reporting

nice-to-have25h

Automated reports for funders showing reduced street cases

Total Build Time: 290 hours

Database Schema

communities

ColumnTypeNullable
iduuidNo
nametextNo
districttextNo
leader_iduuidYes

Relationships:

  • contains many children

children

ColumnTypeNullable
iduuidNo
nametextYes
ageintYes
parent_phonetextNo
school_iduuidYes
risk_scoreintNo
community_iduuidNo

Relationships:

  • belongs to community
  • has attendance records

attendance

ColumnTypeNullable
iduuidNo
child_iduuidNo
datetimestampNo
presentboolNo
recorded_byuuidNo

Relationships:

  • child_id references children.id

voice_lessons

ColumnTypeNullable
iduuidNo
titletextNo
audio_urltextNo
languagetextNo
target_topictextNo

Relationships:

  • delivered to many parents

API Endpoints

POST
/api/attendance

Record daily attendance via app or USSD webhook

🔒 Auth Required
POST
/api/lessons/deliver

Trigger voice lesson to specific parent phone

🔒 Auth Required
GET
/api/risk/scan

Return children with elevated risk scores in a community

🔒 Auth Required
POST
/api/mentors/match

Create mentor-child pairing

🔒 Auth Required

Tech Stack

Frontend
Flutter
Backend
Django
Database
PostgreSQL
Auth
Django Allauth + JWT
Payments
Flutterwave
Hosting
Fly.io
Additional Tools
Twilio for IVR and voice deliveryCelery for scheduled callsSimple USSD gateway

Build Timeline

Week 1: Django backend and data models

42h
  • Admin panel
  • Core models (children, attendance, lessons)
  • Auth system

Week 2: Voice and USSD integration

55h
  • Twilio IVR flows
  • Lesson delivery scheduler
  • USSD attendance endpoint

Week 3: Flutter mobile app for leaders

48h
  • Attendance marking app
  • Risk dashboard
  • Mentor matching UI

Week 4: Risk engine and feedback loops

40h
  • Simple risk scoring logic
  • Voice feedback capture
  • Parent engagement tracking

Week 5: Content management and reporting

35h
  • Lesson CMS
  • Funder reporting tools
  • Polish and localization
Total Timeline: 5 weeks • 295 hours

Pricing Tiers

Community

$0/mo

Maximum 10 children

  • 1 school/community
  • Basic voice lessons
  • 10 children tracked

Pro

$35/mo

None

  • Unlimited children
  • Full voice library
  • Risk scoring
  • Mentor matching
  • Attendance automation

District

$79/mo

None

  • All Pro features
  • Multiple communities
  • Custom voice content
  • Advanced reporting
  • Priority Twilio credits

Revenue Projections

MonthUsersConversionMRRARR
Month 11107%$269$3,228
Month 674013%$3,377$40,524

Unit Economics

$21
CAC
$395
LTV
9%
Churn
76%
Margin
LTV:CAC Ratio: 18.8xExcellent!

Landing Page Copy

Stop Children Before They Reach the Streets

Voice lessons for parents. Early absence alerts for communities. Prevention that actually works in Guinea.

Feature Highlights

Works on feature phones
Parenting lessons in Susu
Automatic risk alerts
Local mentor network
Proven prevention focus

Social Proof (Placeholders)

"'Mothers actually answer the calls. We've seen fewer children disappearing.' — Mariam, Community Leader"
"'The risk scoring helped us intervene with 14 families before children went to the street.' — School Director"

First Three Customers

Begin with madrasa and public school networks in Conakry who already track attendance. Offer free Pro accounts to three respected imams and women's community leaders who influence large groups of families. Use success data from these pilots to approach the Ministry of Education and local UNICEF office for larger scale contracts and endorsements.

Launch Channels

ProductHuntr/NonprofitLinkedIn Education AfricaIslamic Relief networksGuinea education ministry contacts

SEO Keywords

prevent street children Guineavoice parenting lessons Africaearly intervention child protectionschool absence tracking toolcommunity mentor matching software

Competitive Analysis

U-Report (UNICEF)

ureport.in
Free
Strength

Massive reach via SMS

Weakness

Not structured prevention program, no voice lessons or mentor matching

Our Advantage

Focused workflow from absence to mentor to voice education

General IVR Platforms

n/a
Usage based
Strength

Flexible

Weakness

Require technical setup per deployment

Our Advantage

Pre-built curriculum and risk model for street children prevention

🏰 Moat Strategy

Curated library of culturally appropriate Susu and French voice content combined with attendance pattern data that improves risk scoring over time.

⏰ Why Now?

Dramatic increase in cheap mobile minutes and IVR technology costs dropping below $0.02 per call makes voice-first prevention programs financially viable for the first time.

Risks & Mitigation

executionmedium severity

Content quality and cultural relevance

Mitigation

Co-create all voice lessons with Guinean parenting experts and test with target families

marketmedium severity

Low response rate to voice calls

Mitigation

Use local trusted voices (imams, respected women) to record lessons

financiallow severity

High cost of voice calls at scale

Mitigation

Negotiate bulk rates with African telcos and include credits in higher tiers

Validation Roadmap

pre-build21 days

Test 4 sample voice lessons with 40 mothers in Conakry

Success: At least 32 mothers listen to entire lesson and report it helpful

mvp90 days

Implement in 5 schools for one term

Success: 25% reduction in children disappearing to streets vs control group

Pivot Options

  • Expand into micro-savings groups for mothers
  • Add nutritional tracking
  • License voice content to other African countries

Quick Stats

Build Time
295h
Target MRR (6 mo)
$4,100
Market Size
$15.7M
Features
8
Database Tables
4
API Endpoints
4