SahelDiag

AI-powered remote diagnostics for irrigation systems in remote Mali

Score: 7.5/10MLMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Agritech business owners in remote Malian regions cannot find trained technicians to maintain critical equipment like irrigation systems.

Solution

SahelDiag uses AI to analyze uploaded photos/videos of equipment issues and provides instant troubleshooting guides. Owners connect instantly with vetted remote technicians via video calls for live fixes. Reduces downtime by 70% without needing on-site experts.

Target Audience

Agritech business owners operating irrigation and equipment systems in remote regions of Mali

Differentiator

Tailored AI models trained on Malian irrigation hardware, with French/Bambara language support for local users

Brand Voice

supportive

Features

AI Issue Scanner

must-have20h

Users upload photos/videos; AI detects common irrigation faults and suggests fixes

Video Consult Booking

must-have15h

Schedule and conduct live video sessions with remote technicians

Troubleshoot Library

must-have10h

Searchable database of step-by-step repair guides in local languages

Equipment Log

must-have12h

Track maintenance history per device to predict issues

Alert Notifications

must-have8h

SMS/email alerts for session bookings and AI detections

Session Recordings

nice-to-have10h

Store and review past video consults for future reference

Multi-User Teams

nice-to-have8h

Invite farm managers to shared dashboards

Analytics Dashboard

nice-to-have12h

View equipment uptime and cost savings metrics

Total Build Time: 95 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
phonetextYes
roletextNo
created_attimestampNo

Relationships:

  • one-to-many with equipments

equipments

ColumnTypeNullable
idNo
user_iduuidNo
nametextNo
typetextNo
last_maintenancetimestampYes

Relationships:

  • foreign key to users(id)
  • one-to-many with issues

issues

ColumnTypeNullable
iduuidNo
equipment_iduuidNo
descriptiontextNo
ai_diagnosistextYes
statustextNo
resolved_attimestampYes

Relationships:

  • foreign key to equipments(id)
  • one-to-one with sessions

sessions

ColumnTypeNullable
iduuidNo
issue_iduuidYes
tech_iduuidNo
start_timetimestampNo
recording_urltextYes

Relationships:

  • foreign key to issues(id), technicians(id)

API Endpoints

POST
/api/scan-issue

Upload media and get AI diagnosis

🔒 Auth Required
GET
/api/equipments

List user's equipments

🔒 Auth Required
POST
/api/sessions

Book new video session

🔒 Auth Required
GET
/api/sessions/:id

Get session details and recording

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API routes + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Twilio for SMSHugging Face for AI image analysis

Build Timeline

Week 1: Core setup and auth

25h
  • Project setup
  • User auth and profiles
  • Basic dashboard

Week 2: Equipment and issue management

30h
  • CRUD for equipments
  • Issue logging UI
  • DB schema

Week 3: AI scanner integration

35h
  • Media upload
  • AI diagnosis endpoint
  • Troubleshoot library

Week 4: Video sessions

30h
  • Session booking
  • Video integration (Twilio)
  • Notifications

Week 5: Payments and nice-to-haves

25h
  • Stripe integration
  • Session recordings
  • Analytics

Week 6: Polish, testing, landing

20h
  • Full testing
  • Landing page
  • SEO setup
Total Timeline: 6 weeks • 175 hours

Pricing Tiers

Free

$0/mo

No video sessions

  • AI scans (3/month)
  • Basic guides
  • Equipment log (1)

Pro

$35/mo

Up to 10 equipments

  • Unlimited AI scans
  • Video sessions (10/month)
  • Full logs
  • Alerts

Enterprise

$99/mo

Unlimited equipments

  • All Pro + unlimited sessions
  • Team access
  • Custom AI training
  • Priority support

Revenue Projections

MonthUsersConversionMRRARR
Month 11002%$70$840
Month 65005%$875$10,500

Unit Economics

$25
CAC
$600
LTV
5%
Churn
92%
Margin
LTV:CAC Ratio: 24.0xExcellent!

Landing Page Copy

Fix Irrigation Breakdowns Remotely – No Technicians Needed in Mali's Outback

AI diagnoses + live video support tailored for Sahel agritech equipment

Feature Highlights

Instant AI fault detection
Video fixes in Bambara/French
70% less downtime
SMS alerts for issues

Social Proof (Placeholders)

"'Saved my harvest!' – Amadou, Gao Farmer"
"'AI nailed the pump issue instantly.' – Fatima, Remote Owner"

First Three Customers

Reach out to Mali agritech Facebook groups and WhatsApp networks for irrigation owners. Offer free Pro trials via cold emails to 50 businesses listed in local directories. Partner with one co-op in Kayes for beta testing and referrals.

Launch Channels

Product Huntr/SaaSIndie HackersAfrican Tech TwitterMali Agritech FB Groups

SEO Keywords

irrigation repair Maliremote agritech diagnosticsMali irrigation technician remoteSahel equipment maintenance

Competitive Analysis

FarmLogs

farmlogs.com
$99+/mo
Strength

Broad farm management

Weakness

No remote diagnostics for Mali hardware

Our Advantage

Mali-specific AI + low-cost video support

🏰 Moat Strategy

Proprietary AI dataset from Malian equipment scans creates data moat; network of local remote techs grows with users

⏰ Why Now?

Mali's irrigation expansion post-2023 droughts demands reliable remote maintenance amid technician shortages

Risks & Mitigation

technicalmedium severity

AI accuracy on dusty field photos

Mitigation

Start with rule-based + fine-tune HF models on user data

markethigh severity

Low internet in remote areas

Mitigation

Offline photo upload + SMS-first notifications

executionmedium severity

Video call reliability

Mitigation

Use Twilio Video with fallback audio

Validation Roadmap

pre-build7 days

Interview 10 Mali agritech owners on WhatsApp

Success: 80% confirm pain and WOB $35/mo

mvp42 days

Build core AI scan, get 20 beta users

Success: 50% retention week 2

launch7 days

PH launch + FB ads

Success: 100 signups week 1

Pivot Options

  • Pure AI guide app
  • General farm equipment marketplace
  • IoT sensor dashboard

Quick Stats

Build Time
175h
Target MRR (6 mo)
$1,000
Market Size
$5.0M
Features
8
Database Tables
4
API Endpoints
4